[ { "path": "Data Play.ipynb", "content": "{\n \"cells\": [\n {\n \"cell_type\": \"markdown\",\n \"metadata\": {},\n \"source\": [\n \"# Converting Data for Visualization\\n\",\n \"\\n\",\n \"Although we've managed to extract a few examples of both dabs and tposes, it's now time to figure out what our data looks like. \\n\",\n \"\\n\",\n \"The easiest way to manipulate and visualize data in Python is via tools like Pandas and Seaborn. \\n\",\n \"\\n\",\n \"But first, we'll need to convert our numpy raw arrays into something that's a bit more readable. So let's do that by converting them into labeled CSV files.\"\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 1,\n \"metadata\": {},\n \"outputs\": [],\n \"source\": [\n \"import numpy as np\\n\",\n \"np.random.seed(1337)\\n\",\n \"import pandas as pd\\n\",\n \"import seaborn as sns\\n\",\n \"import matplotlib.pyplot as plt\\n\",\n \"%matplotlib inline\"\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 2,\n \"metadata\": {},\n \"outputs\": [],\n \"source\": [\n \"dabDataset = np.load('data/dabs.npy')\\n\",\n \"tposeDataset = np.load('data/tposes.npy')\\n\",\n \"otherDataset = np.load('data/other.npy')\"\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 3,\n \"metadata\": {},\n \"outputs\": [\n {\n \"data\": {\n \"text/plain\": [\n \"array([[5.8832416e+02, 2.9433704e+02, 7.2265184e-01],\\n\",\n \" [5.8239331e+02, 3.5126093e+02, 8.0205584e-01],\\n\",\n \" [5.0984329e+02, 3.4919385e+02, 7.5316119e-01],\\n\",\n \" [4.1784265e+02, 3.1985785e+02, 8.1164622e-01],\\n\",\n \" [3.6101605e+02, 2.9243521e+02, 8.0296052e-01],\\n\",\n \" [6.5091376e+02, 3.6097537e+02, 6.4161348e-01],\\n\",\n \" [6.3724268e+02, 2.7274924e+02, 7.8188539e-01],\\n\",\n \" [4.9614203e+02, 2.4154723e+02, 8.3243752e-01],\\n\",\n \" [5.4315808e+02, 6.4114813e+02, 4.4807938e-01],\\n\",\n \" [4.8636816e+02, 6.2938318e+02, 3.6906898e-01],\\n\",\n \" [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\\n\",\n \" [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\\n\",\n \" [6.0191382e+02, 6.4702966e+02, 3.8946095e-01],\\n\",\n \" [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\\n\",\n \" [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\\n\",\n \" [5.7648334e+02, 2.7475522e+02, 6.1822432e-01],\\n\",\n \" [6.0389270e+02, 2.8454663e+02, 4.1854110e-01],\\n\",\n \" [5.5686536e+02, 2.6891223e+02, 2.7014270e-01],\\n\",\n \" [6.1959991e+02, 2.9243130e+02, 7.0310913e-02],\\n\",\n \" [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\\n\",\n \" [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\\n\",\n \" [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\\n\",\n \" [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\\n\",\n \" [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\\n\",\n \" [0.0000000e+00, 0.0000000e+00, 0.0000000e+00]], dtype=float32)\"\n ]\n },\n \"execution_count\": 3,\n \"metadata\": {},\n \"output_type\": \"execute_result\"\n }\n ],\n \"source\": [\n \"dabDataset[0]\"\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 4,\n \"metadata\": {},\n \"outputs\": [\n {\n \"data\": {\n \"text/plain\": [\n \"(25, 3)\"\n ]\n },\n \"execution_count\": 4,\n \"metadata\": {},\n \"output_type\": \"execute_result\"\n }\n ],\n \"source\": [\n \"dabDataset[0].shape\"\n ]\n },\n {\n \"cell_type\": \"markdown\",\n \"metadata\": {},\n \"source\": [\n \"# Adding our Labels\\n\",\n \"\\n\",\n \"Our labels come from the [BODY_25 Pose Output format](https://github.com/CMU-Perceptual-Computing-Lab/openpose/blob/master/doc/output.md#pose-output-format-body_25) available at the repo. \\n\",\n \"\\n\",\n \"We can tell because when we looked at each of our poses, we saw a `dataset[0].shape` of 25. This matches the number of labels below.\"\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 5,\n \"metadata\": {},\n \"outputs\": [],\n \"source\": [\n \"labels = [\\\"Nose\\\", \\\"Neck\\\", \\\"RShoulder\\\", \\\"RElbow\\\", \\\"RWrist\\\", \\\"LShoulder\\\", \\\"LElbow\\\",\\n\",\n \" \\\"LWrist\\\", \\\"MidHip\\\", \\\"RHip\\\", \\\"RKnee\\\", \\\"RAnkle\\\", \\\"LHip\\\", \\\"LKnee\\\", \\\"LAnkle\\\",\\n\",\n \" \\\"REye\\\", \\\"LEye\\\", \\\"REar\\\", \\\"LEar\\\", \\\"LBigToe\\\", \\\"LSmallToe\\\", \\\"LHeel\\\", \\\"RBigToe\\\",\\n\",\n \" \\\"RSmallToe\\\", \\\"RHeel\\\", \\\"Background\\\"]\"\n ]\n },\n {\n \"cell_type\": \"markdown\",\n \"metadata\": {},\n \"source\": [\n \"Each of our labels comes as an `X`, `Y`, and `Confidence`. Let's add those labels and flatten this array for our CSV file:\"\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 6,\n \"metadata\": {},\n \"outputs\": [],\n \"source\": [\n \"properLabels = []\\n\",\n \"for label in labels:\\n\",\n \" properLabels.append(label + 'X')\\n\",\n \" properLabels.append(label + 'Y')\\n\",\n \" properLabels.append(label + 'Confidence')\"\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 7,\n \"metadata\": {},\n \"outputs\": [],\n \"source\": [\n \"import csv\\n\",\n \"\\n\",\n \"with open('data/dabs.csv', 'w+') as dabcsv:\\n\",\n \" dabwriter = csv.writer(dabcsv, delimiter=',')\\n\",\n \" dabwriter.writerow(properLabels)\\n\",\n \" for cell in dabDataset:\\n\",\n \" dabwriter.writerow(cell.flatten())\\n\",\n \" \\n\",\n \"with open('data/tposes.csv', 'w+') as tposecsv:\\n\",\n \" tposewriter = csv.writer(tposecsv, delimiter=',')\\n\",\n \" tposewriter.writerow(properLabels)\\n\",\n \" for cell in tposeDataset:\\n\",\n \" tposewriter.writerow(cell.flatten())\\n\",\n \" \\n\",\n \"with open('data/other.csv', 'w+') as othercsv:\\n\",\n \" otherwriter = csv.writer(othercsv, delimiter=',')\\n\",\n \" otherwriter.writerow(properLabels)\\n\",\n \" for cell in otherDataset:\\n\",\n \" otherwriter.writerow(cell.flatten())\"\n ]\n },\n {\n \"cell_type\": \"markdown\",\n \"metadata\": {},\n \"source\": [\n \"## Sanity Checking our Data\\n\",\n \"\\n\",\n \"We can now open up our CSV files and see what they look like. How many samples did we collect? Is it enough? \\n\",\n \"\\n\",\n \"Once we check, we can hop on to the next step, bringing all the data into a single format and file for training.\"\n ]\n },\n {\n \"cell_type\": \"markdown\",\n \"metadata\": {},\n \"source\": [\n \"## Creating a Labeled Dataset for Training and Testing\\n\",\n \"\\n\",\n \"Now that we've got our data (mostly) sorted out, we need to convert it into a set. \\n\",\n \"\\n\",\n \"We'll use `0` for `other` poses, `1` for `dabs`, and `2` for `tposes`.\\n\",\n \"\\n\"\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 8,\n \"metadata\": {},\n \"outputs\": [\n {\n \"name\": \"stdout\",\n \"output_type\": \"stream\",\n \"text\": [\n \"[0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\\n\",\n \" 0. 0. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 2. 2. 2. 2. 2. 2. 2. 2.\\n\",\n \" 2. 2. 2. 2. 2. 2. 2. 2.]\\n\",\n \"56 total examples for training.\\n\"\n ]\n }\n ],\n \"source\": [\n \"labels = np.zeros(len(otherDataset))\\n\",\n \"labels = np.append(labels, np.full((len(dabDataset)), 1))\\n\",\n \"labels = np.append(labels, np.full((len(tposeDataset)), 2))\\n\",\n \"print(labels)\\n\",\n \"print(\\\"%i total examples for training.\\\" % len(labels))\"\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 9,\n \"metadata\": {},\n \"outputs\": [\n {\n \"name\": \"stdout\",\n \"output_type\": \"stream\",\n \"text\": [\n \"[[[488.3213 147.51425 0.83340967]\\n\",\n \" [494.22372 284.5734 0.8012297 ]\\n\",\n \" [386.4863 270.83716 0.66853976]\\n\",\n \" ...\\n\",\n \" [ 0. 0. 0. ]\\n\",\n \" [ 0. 0. 0. ]\\n\",\n \" [ 0. 0. 0. ]]\\n\",\n \"\\n\",\n \" [[515.7737 112.18818 0.83487195]\\n\",\n \" [478.48004 274.7029 0.8005627 ]\\n\",\n \" [368.77948 257.2105 0.6782713 ]\\n\",\n \" ...\\n\",\n \" [ 0. 0. 0. ]\\n\",\n \" [ 0. 0. 0. ]\\n\",\n \" [ 0. 0. 0. ]]\\n\",\n \"\\n\",\n \" [[547.1316 112.15151 0.79948723]\\n\",\n \" [464.79065 268.88403 0.73338044]\\n\",\n \" [360.98135 243.43745 0.62600124]\\n\",\n \" ...\\n\",\n \" [ 0. 0. 0. ]\\n\",\n \" [ 0. 0. 0. ]\\n\",\n \" [ 0. 0. 0. ]]\\n\",\n \"\\n\",\n \" ...\\n\",\n \"\\n\",\n \" [[509.97504 257.06958 0.892523 ]\\n\",\n \" [460.9663 351.17117 0.7867987 ]\\n\",\n \" [372.75305 333.54434 0.6111988 ]\\n\",\n \" ...\\n\",\n \" [ 0. 0. 0. ]\\n\",\n \" [ 0. 0. 0. ]\\n\",\n \" [ 0. 0. 0. ]]\\n\",\n \"\\n\",\n \" [[554.90063 286.50854 0.88104486]\\n\",\n \" [496.1236 374.6841 0.7804795 ]\\n\",\n \" [415.7811 353.13678 0.74092144]\\n\",\n \" ...\\n\",\n \" [ 0. 0. 0. ]\\n\",\n \" [ 0. 0. 0. ]\\n\",\n \" [ 0. 0. 0. ]]\\n\",\n \"\\n\",\n \" [[570.5084 268.88422 0.855286 ]\\n\",\n \" [509.95016 370.85114 0.7977039 ]\\n\",\n \" [431.50925 353.08978 0.7552353 ]\\n\",\n \" ...\\n\",\n \" [ 0. 0. 0. ]\\n\",\n \" [ 0. 0. 0. ]\\n\",\n \" [ 0. 0. 0. ]]]\\n\"\n ]\n }\n ],\n \"source\": [\n \"dataset = np.append(otherDataset, dabDataset, axis=0)\\n\",\n \"dataset = np.append(dataset, tposeDataset, axis=0)\\n\",\n \"print(dataset)\"\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 10,\n \"metadata\": {},\n \"outputs\": [\n {\n \"data\": {\n \"text/plain\": [\n \"(56, 25, 3)\"\n ]\n },\n \"execution_count\": 10,\n \"metadata\": {},\n \"output_type\": \"execute_result\"\n }\n ],\n \"source\": [\n \"dataset.shape\"\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 11,\n \"metadata\": {},\n \"outputs\": [\n {\n \"data\": {\n \"text/plain\": [\n \"array([[0.11524551, 0.22232297, 0.21159153, ..., 0. , 0. ,\\n\",\n \" 0. ],\\n\",\n \" [0.08764701, 0.21461165, 0.2009457 , ..., 0. , 0. ,\\n\",\n \" 0. ],\\n\",\n \" [0.08761837, 0.21006565, 0.19018552, ..., 0. , 0. ,\\n\",\n \" 0. ],\\n\",\n \" ...,\\n\",\n \" [0.20083562, 0.2743525 , 0.26058152, ..., 0. , 0. ,\\n\",\n \" 0. ],\\n\",\n \" [0.2238348 , 0.29272196, 0.27588812, ..., 0. , 0. ,\\n\",\n \" 0. ],\\n\",\n \" [0.2100658 , 0.28972745, 0.2758514 , ..., 0. , 0. ,\\n\",\n \" 0. ]], dtype=float32)\"\n ]\n },\n \"execution_count\": 11,\n \"metadata\": {},\n \"output_type\": \"execute_result\"\n }\n ],\n \"source\": [\n \"dataset[:,:,1] / 1280\"\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 12,\n \"metadata\": {},\n \"outputs\": [\n {\n \"name\": \"stderr\",\n \"output_type\": \"stream\",\n \"text\": [\n \"Using TensorFlow backend.\\n\"\n ]\n },\n {\n \"name\": \"stdout\",\n \"output_type\": \"stream\",\n \"text\": [\n \"3\\n\"\n ]\n }\n ],\n \"source\": [\n \"# now, let's shuffle labels and the array, the same way\\n\",\n \"from sklearn.utils import shuffle\\n\",\n \"X, y = shuffle(dataset, labels)\\n\",\n \"# now let's label them for 'one hot'\\n\",\n \"from keras.utils.np_utils import to_categorical\\n\",\n \"y = to_categorical(y, 3)\\n\",\n \"print(y.shape[1])\"\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 13,\n \"metadata\": {},\n \"outputs\": [],\n \"source\": [\n \"from keras.models import Sequential\\n\",\n \"from keras.layers import Dense, Dropout, Activation, Flatten\\n\",\n \"from keras.optimizers import SGD\"\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 14,\n \"metadata\": {},\n \"outputs\": [\n {\n \"data\": {\n \"text/plain\": [\n \"array([[4.88321289e+02, 1.47514252e+02, 8.33409667e-01],\\n\",\n \" [4.94223724e+02, 2.84573395e+02, 8.01229715e-01],\\n\",\n \" [3.86486298e+02, 2.70837158e+02, 6.68539762e-01],\\n\",\n \" [3.37498718e+02, 4.31440033e+02, 8.06459844e-01],\\n\",\n \" [2.76727325e+02, 5.92155334e+02, 6.95721209e-01],\\n\",\n \" [6.01926575e+02, 2.96297577e+02, 6.77372575e-01],\\n\",\n \" [6.17621460e+02, 4.47154175e+02, 8.15527081e-01],\\n\",\n \" [6.33207092e+02, 6.13721497e+02, 7.50288665e-01],\\n\",\n \" [4.49166534e+02, 6.23515259e+02, 3.33123893e-01],\\n\",\n \" [3.68768433e+02, 6.15664124e+02, 2.96909660e-01],\\n\",\n \" [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\\n\",\n \" [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\\n\",\n \" [5.29464417e+02, 6.35266663e+02, 3.00662249e-01],\\n\",\n \" [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\\n\",\n \" [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\\n\",\n \" [4.72626495e+02, 1.25848732e+02, 7.93599010e-01],\\n\",\n \" [5.09897217e+02, 1.25915306e+02, 8.75047982e-01],\\n\",\n \" [4.47158661e+02, 1.31820786e+02, 9.30340886e-01],\\n\",\n \" [5.51045410e+02, 1.35715973e+02, 8.41542602e-01],\\n\",\n \" [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\\n\",\n \" [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\\n\",\n \" [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\\n\",\n \" [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\\n\",\n \" [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\\n\",\n \" [0.00000000e+00, 0.00000000e+00, 0.00000000e+00]], dtype=float32)\"\n ]\n },\n \"execution_count\": 14,\n \"metadata\": {},\n \"output_type\": \"execute_result\"\n }\n ],\n \"source\": [\n \"X = X.reshape(len(X), 75)\\n\",\n \"dataset[0]\"\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 15,\n \"metadata\": {},\n \"outputs\": [\n {\n \"name\": \"stdout\",\n \"output_type\": \"stream\",\n \"text\": [\n \"Epoch 1/200\\n\",\n \"56/56 [==============================] - 0s 2ms/step - loss: 11.8007 - acc: 0.2679\\n\",\n \"Epoch 2/200\\n\",\n \"56/56 [==============================] - 0s 49us/step - loss: 11.7810 - acc: 0.2679\\n\",\n \"Epoch 3/200\\n\",\n \"56/56 [==============================] - 0s 49us/step - loss: 8.9225 - acc: 0.4464\\n\",\n \"Epoch 4/200\\n\",\n \"56/56 [==============================] - 0s 44us/step - loss: 8.3469 - acc: 0.4821\\n\",\n \"Epoch 5/200\\n\",\n \"56/56 [==============================] - 0s 43us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 6/200\\n\",\n \"56/56 [==============================] - 0s 48us/step - loss: 8.3469 - acc: 0.4821\\n\",\n \"Epoch 7/200\\n\",\n \"56/56 [==============================] - 0s 41us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 8/200\\n\",\n \"56/56 [==============================] - 0s 57us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 9/200\\n\",\n \"56/56 [==============================] - 0s 67us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 10/200\\n\",\n \"56/56 [==============================] - 0s 54us/step - loss: 8.3469 - acc: 0.4821\\n\",\n \"Epoch 11/200\\n\",\n \"56/56 [==============================] - 0s 49us/step - loss: 8.9225 - acc: 0.4464\\n\",\n \"Epoch 12/200\\n\",\n \"56/56 [==============================] - 0s 43us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 13/200\\n\",\n \"56/56 [==============================] - 0s 42us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 14/200\\n\",\n \"56/56 [==============================] - 0s 46us/step - loss: 9.2103 - acc: 0.4286\\n\",\n \"Epoch 15/200\\n\",\n \"56/56 [==============================] - 0s 50us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 16/200\\n\",\n \"56/56 [==============================] - 0s 57us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 17/200\\n\",\n \"56/56 [==============================] - 0s 61us/step - loss: 8.9225 - acc: 0.4464\\n\",\n \"Epoch 18/200\\n\",\n \"56/56 [==============================] - 0s 57us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 19/200\\n\",\n \"56/56 [==============================] - 0s 96us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 20/200\\n\",\n \"56/56 [==============================] - 0s 46us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 21/200\\n\",\n \"56/56 [==============================] - 0s 45us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 22/200\\n\",\n \"56/56 [==============================] - 0s 81us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 23/200\\n\",\n \"56/56 [==============================] - 0s 71us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 24/200\\n\",\n \"56/56 [==============================] - 0s 54us/step - loss: 9.2103 - acc: 0.4286\\n\",\n \"Epoch 25/200\\n\",\n \"56/56 [==============================] - 0s 51us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 26/200\\n\",\n \"56/56 [==============================] - 0s 61us/step - loss: 8.9225 - acc: 0.4464\\n\",\n \"Epoch 27/200\\n\",\n \"56/56 [==============================] - 0s 73us/step - loss: 8.8764 - acc: 0.4464\\n\",\n \"Epoch 28/200\\n\",\n \"56/56 [==============================] - 0s 51us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 29/200\\n\",\n \"56/56 [==============================] - 0s 55us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 30/200\\n\",\n \"56/56 [==============================] - 0s 52us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 31/200\\n\",\n \"56/56 [==============================] - 0s 57us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 32/200\\n\",\n \"56/56 [==============================] - 0s 52us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 33/200\\n\",\n \"56/56 [==============================] - 0s 57us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 34/200\\n\",\n \"56/56 [==============================] - 0s 58us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 35/200\\n\",\n \"56/56 [==============================] - 0s 56us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 36/200\\n\",\n \"56/56 [==============================] - 0s 47us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 37/200\\n\",\n \"56/56 [==============================] - 0s 44us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 38/200\\n\",\n \"56/56 [==============================] - 0s 47us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 39/200\\n\",\n \"56/56 [==============================] - 0s 62us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 40/200\\n\",\n \"56/56 [==============================] - 0s 60us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 41/200\\n\",\n \"56/56 [==============================] - 0s 63us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 42/200\\n\",\n \"56/56 [==============================] - 0s 64us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 43/200\\n\",\n \"56/56 [==============================] - 0s 47us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 44/200\\n\",\n \"56/56 [==============================] - 0s 51us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 45/200\\n\",\n \"56/56 [==============================] - 0s 52us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 46/200\\n\",\n \"56/56 [==============================] - 0s 56us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 47/200\\n\",\n \"56/56 [==============================] - 0s 60us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 48/200\\n\",\n \"56/56 [==============================] - 0s 96us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 49/200\\n\",\n \"56/56 [==============================] - 0s 56us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 50/200\\n\",\n \"56/56 [==============================] - 0s 50us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 51/200\\n\",\n \"56/56 [==============================] - 0s 56us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 52/200\\n\",\n \"56/56 [==============================] - 0s 76us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 53/200\\n\",\n \"56/56 [==============================] - 0s 61us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 54/200\\n\",\n \"56/56 [==============================] - 0s 61us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 55/200\\n\",\n \"56/56 [==============================] - 0s 58us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 56/200\\n\",\n \"56/56 [==============================] - 0s 65us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 57/200\\n\",\n \"56/56 [==============================] - 0s 60us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 58/200\\n\",\n \"56/56 [==============================] - 0s 60us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 59/200\\n\",\n \"56/56 [==============================] - 0s 52us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 60/200\\n\",\n \"56/56 [==============================] - 0s 53us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 61/200\\n\",\n \"56/56 [==============================] - 0s 73us/step - loss: 8.9225 - acc: 0.4464\\n\",\n \"Epoch 62/200\\n\",\n \"56/56 [==============================] - 0s 53us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 63/200\\n\",\n \"56/56 [==============================] - 0s 45us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 64/200\\n\",\n \"56/56 [==============================] - 0s 59us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 65/200\\n\",\n \"56/56 [==============================] - 0s 55us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 66/200\\n\",\n \"56/56 [==============================] - 0s 69us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 67/200\\n\",\n \"56/56 [==============================] - 0s 61us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 68/200\\n\",\n \"56/56 [==============================] - 0s 55us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 69/200\\n\",\n \"56/56 [==============================] - 0s 43us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 70/200\\n\",\n \"56/56 [==============================] - 0s 46us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 71/200\\n\",\n \"56/56 [==============================] - 0s 39us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 72/200\\n\",\n \"56/56 [==============================] - 0s 42us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 73/200\\n\",\n \"56/56 [==============================] - ETA: 0s - loss: 8.7038 - acc: 0.460 - 0s 52us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 74/200\\n\",\n \"56/56 [==============================] - 0s 49us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 75/200\\n\",\n \"56/56 [==============================] - 0s 52us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 76/200\\n\",\n \"56/56 [==============================] - 0s 46us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 77/200\\n\",\n \"56/56 [==============================] - 0s 60us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 78/200\\n\",\n \"56/56 [==============================] - 0s 50us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 79/200\\n\",\n \"56/56 [==============================] - 0s 47us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 80/200\\n\",\n \"56/56 [==============================] - 0s 50us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 81/200\\n\",\n \"56/56 [==============================] - 0s 46us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 82/200\\n\",\n \"56/56 [==============================] - 0s 50us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 83/200\\n\",\n \"56/56 [==============================] - 0s 49us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 84/200\\n\",\n \"56/56 [==============================] - 0s 46us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 85/200\\n\",\n \"56/56 [==============================] - 0s 65us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 86/200\\n\"\n ]\n },\n {\n \"name\": \"stdout\",\n \"output_type\": \"stream\",\n \"text\": [\n \"56/56 [==============================] - 0s 49us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 87/200\\n\",\n \"56/56 [==============================] - 0s 46us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 88/200\\n\",\n \"56/56 [==============================] - 0s 51us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 89/200\\n\",\n \"56/56 [==============================] - 0s 45us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 90/200\\n\",\n \"56/56 [==============================] - 0s 46us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 91/200\\n\",\n \"56/56 [==============================] - 0s 42us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 92/200\\n\",\n \"56/56 [==============================] - 0s 48us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 93/200\\n\",\n \"56/56 [==============================] - 0s 39us/step - loss: 8.3469 - acc: 0.4821\\n\",\n \"Epoch 94/200\\n\",\n \"56/56 [==============================] - 0s 50us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 95/200\\n\",\n \"56/56 [==============================] - 0s 43us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 96/200\\n\",\n \"56/56 [==============================] - 0s 47us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 97/200\\n\",\n \"56/56 [==============================] - 0s 44us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 98/200\\n\",\n \"56/56 [==============================] - 0s 44us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 99/200\\n\",\n \"56/56 [==============================] - 0s 45us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 100/200\\n\",\n \"56/56 [==============================] - 0s 55us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 101/200\\n\",\n \"56/56 [==============================] - 0s 53us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 102/200\\n\",\n \"56/56 [==============================] - 0s 56us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 103/200\\n\",\n \"56/56 [==============================] - 0s 52us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 104/200\\n\",\n \"56/56 [==============================] - 0s 51us/step - loss: 8.9225 - acc: 0.4464\\n\",\n \"Epoch 105/200\\n\",\n \"56/56 [==============================] - 0s 43us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 106/200\\n\",\n \"56/56 [==============================] - 0s 48us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 107/200\\n\",\n \"56/56 [==============================] - 0s 47us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 108/200\\n\",\n \"56/56 [==============================] - 0s 50us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 109/200\\n\",\n \"56/56 [==============================] - 0s 57us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 110/200\\n\",\n \"56/56 [==============================] - 0s 48us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 111/200\\n\",\n \"56/56 [==============================] - 0s 46us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 112/200\\n\",\n \"56/56 [==============================] - 0s 47us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 113/200\\n\",\n \"56/56 [==============================] - 0s 44us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 114/200\\n\",\n \"56/56 [==============================] - 0s 45us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 115/200\\n\",\n \"56/56 [==============================] - 0s 42us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 116/200\\n\",\n \"56/56 [==============================] - 0s 40us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 117/200\\n\",\n \"56/56 [==============================] - 0s 65us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 118/200\\n\",\n \"56/56 [==============================] - 0s 50us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 119/200\\n\",\n \"56/56 [==============================] - 0s 46us/step - loss: 8.9225 - acc: 0.4464\\n\",\n \"Epoch 120/200\\n\",\n \"56/56 [==============================] - 0s 44us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 121/200\\n\",\n \"56/56 [==============================] - 0s 48us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 122/200\\n\",\n \"56/56 [==============================] - 0s 59us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 123/200\\n\",\n \"56/56 [==============================] - 0s 58us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 124/200\\n\",\n \"56/56 [==============================] - 0s 44us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 125/200\\n\",\n \"56/56 [==============================] - 0s 40us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 126/200\\n\",\n \"56/56 [==============================] - 0s 44us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 127/200\\n\",\n \"56/56 [==============================] - 0s 46us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 128/200\\n\",\n \"56/56 [==============================] - 0s 52us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 129/200\\n\",\n \"56/56 [==============================] - 0s 44us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 130/200\\n\",\n \"56/56 [==============================] - 0s 42us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 131/200\\n\",\n \"56/56 [==============================] - 0s 42us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 132/200\\n\",\n \"56/56 [==============================] - 0s 48us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 133/200\\n\",\n \"56/56 [==============================] - 0s 48us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 134/200\\n\",\n \"56/56 [==============================] - 0s 45us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 135/200\\n\",\n \"56/56 [==============================] - 0s 55us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 136/200\\n\",\n \"56/56 [==============================] - 0s 52us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 137/200\\n\",\n \"56/56 [==============================] - 0s 49us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 138/200\\n\",\n \"56/56 [==============================] - 0s 54us/step - loss: 8.3469 - acc: 0.4821\\n\",\n \"Epoch 139/200\\n\",\n \"56/56 [==============================] - 0s 54us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 140/200\\n\",\n \"56/56 [==============================] - 0s 52us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 141/200\\n\",\n \"56/56 [==============================] - 0s 48us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 142/200\\n\",\n \"56/56 [==============================] - 0s 56us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 143/200\\n\",\n \"56/56 [==============================] - 0s 52us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 144/200\\n\",\n \"56/56 [==============================] - 0s 53us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 145/200\\n\",\n \"56/56 [==============================] - 0s 48us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 146/200\\n\",\n \"56/56 [==============================] - 0s 52us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 147/200\\n\",\n \"56/56 [==============================] - 0s 58us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 148/200\\n\",\n \"56/56 [==============================] - 0s 52us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 149/200\\n\",\n \"56/56 [==============================] - 0s 67us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 150/200\\n\",\n \"56/56 [==============================] - 0s 49us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 151/200\\n\",\n \"56/56 [==============================] - 0s 48us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 152/200\\n\",\n \"56/56 [==============================] - 0s 56us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 153/200\\n\",\n \"56/56 [==============================] - 0s 50us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 154/200\\n\",\n \"56/56 [==============================] - 0s 46us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 155/200\\n\",\n \"56/56 [==============================] - 0s 52us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 156/200\\n\",\n \"56/56 [==============================] - 0s 59us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 157/200\\n\",\n \"56/56 [==============================] - 0s 48us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 158/200\\n\",\n \"56/56 [==============================] - 0s 52us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 159/200\\n\",\n \"56/56 [==============================] - 0s 56us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 160/200\\n\",\n \"56/56 [==============================] - 0s 72us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 161/200\\n\",\n \"56/56 [==============================] - 0s 60us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 162/200\\n\",\n \"56/56 [==============================] - 0s 52us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 163/200\\n\",\n \"56/56 [==============================] - 0s 53us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 164/200\\n\",\n \"56/56 [==============================] - 0s 45us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 165/200\\n\",\n \"56/56 [==============================] - 0s 45us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 166/200\\n\",\n \"56/56 [==============================] - 0s 58us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 167/200\\n\",\n \"56/56 [==============================] - 0s 49us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 168/200\\n\",\n \"56/56 [==============================] - 0s 41us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 169/200\\n\",\n \"56/56 [==============================] - 0s 45us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 170/200\\n\"\n ]\n },\n {\n \"name\": \"stdout\",\n \"output_type\": \"stream\",\n \"text\": [\n \"56/56 [==============================] - 0s 47us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 171/200\\n\",\n \"56/56 [==============================] - 0s 45us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 172/200\\n\",\n \"56/56 [==============================] - 0s 43us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 173/200\\n\",\n \"56/56 [==============================] - 0s 43us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 174/200\\n\",\n \"56/56 [==============================] - 0s 45us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 175/200\\n\",\n \"56/56 [==============================] - 0s 46us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 176/200\\n\",\n \"56/56 [==============================] - 0s 50us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 177/200\\n\",\n \"56/56 [==============================] - 0s 47us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 178/200\\n\",\n \"56/56 [==============================] - 0s 43us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 179/200\\n\",\n \"56/56 [==============================] - 0s 59us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 180/200\\n\",\n \"56/56 [==============================] - 0s 51us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 181/200\\n\",\n \"56/56 [==============================] - 0s 55us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 182/200\\n\",\n \"56/56 [==============================] - 0s 51us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 183/200\\n\",\n \"56/56 [==============================] - 0s 48us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 184/200\\n\",\n \"56/56 [==============================] - 0s 46us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 185/200\\n\",\n \"56/56 [==============================] - 0s 50us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 186/200\\n\",\n \"56/56 [==============================] - 0s 55us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 187/200\\n\",\n \"56/56 [==============================] - 0s 51us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 188/200\\n\",\n \"56/56 [==============================] - 0s 47us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 189/200\\n\",\n \"56/56 [==============================] - 0s 54us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 190/200\\n\",\n \"56/56 [==============================] - 0s 45us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 191/200\\n\",\n \"56/56 [==============================] - 0s 51us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 192/200\\n\",\n \"56/56 [==============================] - 0s 65us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 193/200\\n\",\n \"56/56 [==============================] - 0s 45us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 194/200\\n\",\n \"56/56 [==============================] - 0s 57us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 195/200\\n\",\n \"56/56 [==============================] - 0s 79us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 196/200\\n\",\n \"56/56 [==============================] - 0s 50us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 197/200\\n\",\n \"56/56 [==============================] - 0s 47us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 198/200\\n\",\n \"56/56 [==============================] - 0s 50us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 199/200\\n\",\n \"56/56 [==============================] - 0s 44us/step - loss: 8.6347 - acc: 0.4643\\n\",\n \"Epoch 200/200\\n\",\n \"56/56 [==============================] - 0s 48us/step - loss: 8.6347 - acc: 0.4643\\n\"\n ]\n },\n {\n \"data\": {\n \"text/plain\": [\n \"\"\n ]\n },\n \"execution_count\": 15,\n \"metadata\": {},\n \"output_type\": \"execute_result\"\n }\n ],\n \"source\": [\n \"opt = SGD(lr=0.005)\\n\",\n \"model = Sequential()\\n\",\n \"model.add(Dense(128, activation='relu', input_shape=(75,)))\\n\",\n \"model.add(Dropout(0.5))\\n\",\n \"model.add(Dense(128, activation='relu'))\\n\",\n \"model.add(Dropout(0.5))\\n\",\n \"model.add(Dense(y.shape[1], activation='softmax'))\\n\",\n \"model.compile(optimizer=opt, #'Adam',\\n\",\n \" loss='categorical_crossentropy',\\n\",\n \" metrics=['accuracy'])\\n\",\n \"model.fit(X, y, epochs=200,batch_size=50)\"\n ]\n },\n {\n \"cell_type\": \"markdown\",\n \"metadata\": {},\n \"source\": [\n \"# Cleaning up data further\\n\",\n \"\\n\",\n \"Looking at our accuracy, it looks like we need to better prepare and nomalize our data. \\n\",\n \"\\n\",\n \"Or maybe we need to try a different optimizer. Here, I've tried both `SGD` and `Adam`, and saw no improvement.\"\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 16,\n \"metadata\": {},\n \"outputs\": [\n {\n \"name\": \"stdout\",\n \"output_type\": \"stream\",\n \"text\": [\n \"(56, 25, 3)\\n\",\n \"(56, 25, 2)\\n\",\n \"(56, 50)\\n\"\n ]\n }\n ],\n \"source\": [\n \"# let's fit x and y to 0 - 1, get rid of confidence and try again\\n\",\n \"X, y = shuffle(dataset, labels)\\n\",\n \"y = to_categorical(y, 3)\\n\",\n \"print(X.shape)\\n\",\n \"X[:,:,0] = X[:,:,0] / 720 # I think the dimensions are 1280 x 720 ?\\n\",\n \"X[:,:,1] = X[:,:,1] / 1280 # let's see?\\n\",\n \"X = X[:,:,:2]\\n\",\n \"print(X.shape)\\n\",\n \"X = X.reshape(56, 50) # we got rid of confidence percentage\\n\",\n \"print(X.shape)\"\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 17,\n \"metadata\": {},\n \"outputs\": [\n {\n \"name\": \"stdout\",\n \"output_type\": \"stream\",\n \"text\": [\n \"Epoch 1/200\\n\",\n \"56/56 [==============================] - 0s 3ms/step - loss: 1.1181 - acc: 0.3214\\n\",\n \"Epoch 2/200\\n\",\n \"56/56 [==============================] - 0s 85us/step - loss: 1.1080 - acc: 0.4107\\n\",\n \"Epoch 3/200\\n\",\n \"56/56 [==============================] - 0s 62us/step - loss: 1.0874 - acc: 0.3571\\n\",\n \"Epoch 4/200\\n\",\n \"56/56 [==============================] - 0s 73us/step - loss: 1.0482 - acc: 0.4286\\n\",\n \"Epoch 5/200\\n\",\n \"56/56 [==============================] - 0s 89us/step - loss: 1.0640 - acc: 0.4107\\n\",\n \"Epoch 6/200\\n\",\n \"56/56 [==============================] - 0s 64us/step - loss: 1.0018 - acc: 0.4107\\n\",\n \"Epoch 7/200\\n\",\n \"56/56 [==============================] - 0s 59us/step - loss: 1.0232 - acc: 0.5536\\n\",\n \"Epoch 8/200\\n\",\n \"56/56 [==============================] - 0s 83us/step - loss: 1.0465 - acc: 0.4286\\n\",\n \"Epoch 9/200\\n\",\n \"56/56 [==============================] - 0s 104us/step - loss: 1.0455 - acc: 0.4821\\n\",\n \"Epoch 10/200\\n\",\n \"56/56 [==============================] - 0s 90us/step - loss: 1.0816 - acc: 0.4464\\n\",\n \"Epoch 11/200\\n\",\n \"56/56 [==============================] - 0s 72us/step - loss: 0.9902 - acc: 0.5357\\n\",\n \"Epoch 12/200\\n\",\n \"56/56 [==============================] - 0s 68us/step - loss: 0.9998 - acc: 0.5179\\n\",\n \"Epoch 13/200\\n\",\n \"56/56 [==============================] - 0s 66us/step - loss: 1.0120 - acc: 0.5536\\n\",\n \"Epoch 14/200\\n\",\n \"56/56 [==============================] - 0s 174us/step - loss: 1.0120 - acc: 0.5536\\n\",\n \"Epoch 15/200\\n\",\n \"56/56 [==============================] - 0s 71us/step - loss: 0.9832 - acc: 0.4464\\n\",\n \"Epoch 16/200\\n\",\n \"56/56 [==============================] - 0s 72us/step - loss: 0.9401 - acc: 0.5714\\n\",\n \"Epoch 17/200\\n\",\n \"56/56 [==============================] - 0s 79us/step - loss: 0.9692 - acc: 0.5714\\n\",\n \"Epoch 18/200\\n\",\n \"56/56 [==============================] - 0s 95us/step - loss: 0.9571 - acc: 0.4643\\n\",\n \"Epoch 19/200\\n\",\n \"56/56 [==============================] - 0s 82us/step - loss: 0.9630 - acc: 0.5536\\n\",\n \"Epoch 20/200\\n\",\n \"56/56 [==============================] - 0s 64us/step - loss: 0.8602 - acc: 0.6071\\n\",\n \"Epoch 21/200\\n\",\n \"56/56 [==============================] - 0s 70us/step - loss: 0.9576 - acc: 0.4821\\n\",\n \"Epoch 22/200\\n\",\n \"56/56 [==============================] - 0s 70us/step - loss: 0.9265 - acc: 0.5179\\n\",\n \"Epoch 23/200\\n\",\n \"56/56 [==============================] - 0s 83us/step - loss: 0.8936 - acc: 0.5357\\n\",\n \"Epoch 24/200\\n\",\n \"56/56 [==============================] - 0s 78us/step - loss: 0.9079 - acc: 0.5536\\n\",\n \"Epoch 25/200\\n\",\n \"56/56 [==============================] - 0s 69us/step - loss: 0.8699 - acc: 0.5536\\n\",\n \"Epoch 26/200\\n\",\n \"56/56 [==============================] - 0s 59us/step - loss: 0.9075 - acc: 0.5536\\n\",\n \"Epoch 27/200\\n\",\n \"56/56 [==============================] - 0s 71us/step - loss: 0.8978 - acc: 0.5714\\n\",\n \"Epoch 28/200\\n\",\n \"56/56 [==============================] - 0s 82us/step - loss: 0.8842 - acc: 0.6250\\n\",\n \"Epoch 29/200\\n\",\n \"56/56 [==============================] - 0s 73us/step - loss: 0.8414 - acc: 0.6429\\n\",\n \"Epoch 30/200\\n\",\n \"56/56 [==============================] - 0s 64us/step - loss: 0.8472 - acc: 0.5714\\n\",\n \"Epoch 31/200\\n\",\n \"56/56 [==============================] - 0s 68us/step - loss: 0.8905 - acc: 0.5536\\n\",\n \"Epoch 32/200\\n\",\n \"56/56 [==============================] - 0s 75us/step - loss: 0.8176 - acc: 0.6964\\n\",\n \"Epoch 33/200\\n\",\n \"56/56 [==============================] - 0s 95us/step - loss: 0.7840 - acc: 0.6964\\n\",\n \"Epoch 34/200\\n\",\n \"56/56 [==============================] - 0s 79us/step - loss: 0.7879 - acc: 0.6250\\n\",\n \"Epoch 35/200\\n\",\n \"56/56 [==============================] - 0s 74us/step - loss: 0.8054 - acc: 0.6964\\n\",\n \"Epoch 36/200\\n\",\n \"56/56 [==============================] - 0s 65us/step - loss: 0.8339 - acc: 0.6429\\n\",\n \"Epoch 37/200\\n\",\n \"56/56 [==============================] - 0s 75us/step - loss: 0.8199 - acc: 0.6607\\n\",\n \"Epoch 38/200\\n\",\n \"56/56 [==============================] - 0s 74us/step - loss: 0.8184 - acc: 0.6429\\n\",\n \"Epoch 39/200\\n\",\n \"56/56 [==============================] - 0s 144us/step - loss: 0.7656 - acc: 0.7143\\n\",\n \"Epoch 40/200\\n\",\n \"56/56 [==============================] - 0s 72us/step - loss: 0.8403 - acc: 0.6071\\n\",\n \"Epoch 41/200\\n\",\n \"56/56 [==============================] - 0s 72us/step - loss: 0.7397 - acc: 0.8036\\n\",\n \"Epoch 42/200\\n\",\n \"56/56 [==============================] - 0s 90us/step - loss: 0.7842 - acc: 0.6607\\n\",\n \"Epoch 43/200\\n\",\n \"56/56 [==============================] - 0s 136us/step - loss: 0.7386 - acc: 0.6786\\n\",\n \"Epoch 44/200\\n\",\n \"56/56 [==============================] - 0s 74us/step - loss: 0.7431 - acc: 0.6786\\n\",\n \"Epoch 45/200\\n\",\n \"56/56 [==============================] - 0s 62us/step - loss: 0.7183 - acc: 0.7679\\n\",\n \"Epoch 46/200\\n\",\n \"56/56 [==============================] - 0s 111us/step - loss: 0.7489 - acc: 0.6786\\n\",\n \"Epoch 47/200\\n\",\n \"56/56 [==============================] - 0s 83us/step - loss: 0.7082 - acc: 0.7500\\n\",\n \"Epoch 48/200\\n\",\n \"56/56 [==============================] - 0s 72us/step - loss: 0.7029 - acc: 0.6607\\n\",\n \"Epoch 49/200\\n\",\n \"56/56 [==============================] - 0s 66us/step - loss: 0.6830 - acc: 0.7500\\n\",\n \"Epoch 50/200\\n\",\n \"56/56 [==============================] - 0s 69us/step - loss: 0.6353 - acc: 0.7143\\n\",\n \"Epoch 51/200\\n\",\n \"56/56 [==============================] - 0s 67us/step - loss: 0.6603 - acc: 0.7321\\n\",\n \"Epoch 52/200\\n\",\n \"56/56 [==============================] - 0s 70us/step - loss: 0.6567 - acc: 0.6964\\n\",\n \"Epoch 53/200\\n\",\n \"56/56 [==============================] - 0s 81us/step - loss: 0.6564 - acc: 0.7143\\n\",\n \"Epoch 54/200\\n\",\n \"56/56 [==============================] - 0s 79us/step - loss: 0.5689 - acc: 0.8036\\n\",\n \"Epoch 55/200\\n\",\n \"56/56 [==============================] - 0s 58us/step - loss: 0.6173 - acc: 0.7143\\n\",\n \"Epoch 56/200\\n\",\n \"56/56 [==============================] - 0s 61us/step - loss: 0.6302 - acc: 0.7321\\n\",\n \"Epoch 57/200\\n\",\n \"56/56 [==============================] - 0s 73us/step - loss: 0.6036 - acc: 0.6964\\n\",\n \"Epoch 58/200\\n\",\n \"56/56 [==============================] - 0s 97us/step - loss: 0.5556 - acc: 0.8036\\n\",\n \"Epoch 59/200\\n\",\n \"56/56 [==============================] - 0s 101us/step - loss: 0.6340 - acc: 0.7143\\n\",\n \"Epoch 60/200\\n\",\n \"56/56 [==============================] - 0s 56us/step - loss: 0.6534 - acc: 0.6607\\n\",\n \"Epoch 61/200\\n\",\n \"56/56 [==============================] - 0s 75us/step - loss: 0.6219 - acc: 0.7321\\n\",\n \"Epoch 62/200\\n\",\n \"56/56 [==============================] - 0s 78us/step - loss: 0.5575 - acc: 0.7857\\n\",\n \"Epoch 63/200\\n\",\n \"56/56 [==============================] - 0s 64us/step - loss: 0.5349 - acc: 0.8036\\n\",\n \"Epoch 64/200\\n\",\n \"56/56 [==============================] - 0s 84us/step - loss: 0.5685 - acc: 0.7857\\n\",\n \"Epoch 65/200\\n\",\n \"56/56 [==============================] - 0s 86us/step - loss: 0.5681 - acc: 0.7321\\n\",\n \"Epoch 66/200\\n\",\n \"56/56 [==============================] - 0s 81us/step - loss: 0.5435 - acc: 0.8036\\n\",\n \"Epoch 67/200\\n\",\n \"56/56 [==============================] - 0s 80us/step - loss: 0.4840 - acc: 0.8571\\n\",\n \"Epoch 68/200\\n\",\n \"56/56 [==============================] - 0s 114us/step - loss: 0.5229 - acc: 0.7321\\n\",\n \"Epoch 69/200\\n\",\n \"56/56 [==============================] - 0s 80us/step - loss: 0.5247 - acc: 0.7857\\n\",\n \"Epoch 70/200\\n\",\n \"56/56 [==============================] - 0s 78us/step - loss: 0.5449 - acc: 0.7143\\n\",\n \"Epoch 71/200\\n\",\n \"56/56 [==============================] - 0s 77us/step - loss: 0.5456 - acc: 0.7857\\n\",\n \"Epoch 72/200\\n\",\n \"56/56 [==============================] - 0s 105us/step - loss: 0.4857 - acc: 0.8036\\n\",\n \"Epoch 73/200\\n\",\n \"56/56 [==============================] - 0s 80us/step - loss: 0.5204 - acc: 0.7857\\n\",\n \"Epoch 74/200\\n\",\n \"56/56 [==============================] - 0s 69us/step - loss: 0.5074 - acc: 0.8393\\n\",\n \"Epoch 75/200\\n\",\n \"56/56 [==============================] - 0s 68us/step - loss: 0.4894 - acc: 0.8036\\n\",\n \"Epoch 76/200\\n\",\n \"56/56 [==============================] - 0s 69us/step - loss: 0.4819 - acc: 0.7679\\n\",\n \"Epoch 77/200\\n\",\n \"56/56 [==============================] - 0s 84us/step - loss: 0.4925 - acc: 0.7857\\n\",\n \"Epoch 78/200\\n\",\n \"56/56 [==============================] - 0s 79us/step - loss: 0.5051 - acc: 0.7500\\n\",\n \"Epoch 79/200\\n\",\n \"56/56 [==============================] - 0s 74us/step - loss: 0.4937 - acc: 0.7857\\n\",\n \"Epoch 80/200\\n\",\n \"56/56 [==============================] - 0s 65us/step - loss: 0.4562 - acc: 0.8214\\n\",\n \"Epoch 81/200\\n\",\n \"56/56 [==============================] - 0s 89us/step - loss: 0.4478 - acc: 0.7679\\n\",\n \"Epoch 82/200\\n\",\n \"56/56 [==============================] - 0s 61us/step - loss: 0.4057 - acc: 0.8750\\n\",\n \"Epoch 83/200\\n\",\n \"56/56 [==============================] - 0s 61us/step - loss: 0.4634 - acc: 0.7679\\n\",\n \"Epoch 84/200\\n\",\n \"56/56 [==============================] - 0s 67us/step - loss: 0.4733 - acc: 0.7857\\n\",\n \"Epoch 85/200\\n\",\n \"56/56 [==============================] - 0s 72us/step - loss: 0.4951 - acc: 0.7321\\n\",\n \"Epoch 86/200\\n\"\n ]\n },\n {\n \"name\": \"stdout\",\n \"output_type\": \"stream\",\n \"text\": [\n \"56/56 [==============================] - 0s 73us/step - loss: 0.4853 - acc: 0.7500\\n\",\n \"Epoch 87/200\\n\",\n \"56/56 [==============================] - 0s 71us/step - loss: 0.4310 - acc: 0.8571\\n\",\n \"Epoch 88/200\\n\",\n \"56/56 [==============================] - 0s 73us/step - loss: 0.4120 - acc: 0.8393\\n\",\n \"Epoch 89/200\\n\",\n \"56/56 [==============================] - 0s 83us/step - loss: 0.4127 - acc: 0.8571\\n\",\n \"Epoch 90/200\\n\",\n \"56/56 [==============================] - 0s 81us/step - loss: 0.4381 - acc: 0.8393\\n\",\n \"Epoch 91/200\\n\",\n \"56/56 [==============================] - 0s 81us/step - loss: 0.4103 - acc: 0.8571\\n\",\n \"Epoch 92/200\\n\",\n \"56/56 [==============================] - 0s 74us/step - loss: 0.4100 - acc: 0.8393\\n\",\n \"Epoch 93/200\\n\",\n \"56/56 [==============================] - 0s 73us/step - loss: 0.3548 - acc: 0.8750\\n\",\n \"Epoch 94/200\\n\",\n \"56/56 [==============================] - 0s 74us/step - loss: 0.4244 - acc: 0.8750\\n\",\n \"Epoch 95/200\\n\",\n \"56/56 [==============================] - 0s 63us/step - loss: 0.4012 - acc: 0.8393\\n\",\n \"Epoch 96/200\\n\",\n \"56/56 [==============================] - 0s 71us/step - loss: 0.3559 - acc: 0.8571\\n\",\n \"Epoch 97/200\\n\",\n \"56/56 [==============================] - 0s 66us/step - loss: 0.4632 - acc: 0.8393\\n\",\n \"Epoch 98/200\\n\",\n \"56/56 [==============================] - 0s 81us/step - loss: 0.3885 - acc: 0.8750\\n\",\n \"Epoch 99/200\\n\",\n \"56/56 [==============================] - 0s 71us/step - loss: 0.4293 - acc: 0.8214\\n\",\n \"Epoch 100/200\\n\",\n \"56/56 [==============================] - 0s 71us/step - loss: 0.3795 - acc: 0.8750\\n\",\n \"Epoch 101/200\\n\",\n \"56/56 [==============================] - 0s 75us/step - loss: 0.4361 - acc: 0.7857\\n\",\n \"Epoch 102/200\\n\",\n \"56/56 [==============================] - 0s 69us/step - loss: 0.3942 - acc: 0.7857\\n\",\n \"Epoch 103/200\\n\",\n \"56/56 [==============================] - 0s 100us/step - loss: 0.3949 - acc: 0.7679\\n\",\n \"Epoch 104/200\\n\",\n \"56/56 [==============================] - 0s 66us/step - loss: 0.3640 - acc: 0.8393\\n\",\n \"Epoch 105/200\\n\",\n \"56/56 [==============================] - 0s 72us/step - loss: 0.3181 - acc: 0.8571\\n\",\n \"Epoch 106/200\\n\",\n \"56/56 [==============================] - 0s 83us/step - loss: 0.4689 - acc: 0.7321\\n\",\n \"Epoch 107/200\\n\",\n \"56/56 [==============================] - 0s 116us/step - loss: 0.3919 - acc: 0.8929\\n\",\n \"Epoch 108/200\\n\",\n \"56/56 [==============================] - 0s 70us/step - loss: 0.4510 - acc: 0.7500\\n\",\n \"Epoch 109/200\\n\",\n \"56/56 [==============================] - 0s 71us/step - loss: 0.3673 - acc: 0.8214\\n\",\n \"Epoch 110/200\\n\",\n \"56/56 [==============================] - 0s 87us/step - loss: 0.4017 - acc: 0.8036\\n\",\n \"Epoch 111/200\\n\",\n \"56/56 [==============================] - 0s 64us/step - loss: 0.3938 - acc: 0.8571\\n\",\n \"Epoch 112/200\\n\",\n \"56/56 [==============================] - 0s 59us/step - loss: 0.4166 - acc: 0.8393\\n\",\n \"Epoch 113/200\\n\",\n \"56/56 [==============================] - 0s 66us/step - loss: 0.3887 - acc: 0.8214\\n\",\n \"Epoch 114/200\\n\",\n \"56/56 [==============================] - 0s 70us/step - loss: 0.3961 - acc: 0.8036\\n\",\n \"Epoch 115/200\\n\",\n \"56/56 [==============================] - 0s 65us/step - loss: 0.3612 - acc: 0.8571\\n\",\n \"Epoch 116/200\\n\",\n \"56/56 [==============================] - 0s 65us/step - loss: 0.4181 - acc: 0.8214\\n\",\n \"Epoch 117/200\\n\",\n \"56/56 [==============================] - 0s 105us/step - loss: 0.4135 - acc: 0.7500\\n\",\n \"Epoch 118/200\\n\",\n \"56/56 [==============================] - 0s 74us/step - loss: 0.3847 - acc: 0.8036\\n\",\n \"Epoch 119/200\\n\",\n \"56/56 [==============================] - 0s 71us/step - loss: 0.3388 - acc: 0.8393\\n\",\n \"Epoch 120/200\\n\",\n \"56/56 [==============================] - 0s 75us/step - loss: 0.3682 - acc: 0.8393\\n\",\n \"Epoch 121/200\\n\",\n \"56/56 [==============================] - 0s 92us/step - loss: 0.3899 - acc: 0.8036\\n\",\n \"Epoch 122/200\\n\",\n \"56/56 [==============================] - 0s 70us/step - loss: 0.3258 - acc: 0.8750\\n\",\n \"Epoch 123/200\\n\",\n \"56/56 [==============================] - 0s 68us/step - loss: 0.3785 - acc: 0.8214\\n\",\n \"Epoch 124/200\\n\",\n \"56/56 [==============================] - 0s 88us/step - loss: 0.3737 - acc: 0.8393\\n\",\n \"Epoch 125/200\\n\",\n \"56/56 [==============================] - 0s 66us/step - loss: 0.3596 - acc: 0.8393\\n\",\n \"Epoch 126/200\\n\",\n \"56/56 [==============================] - 0s 71us/step - loss: 0.3552 - acc: 0.8393\\n\",\n \"Epoch 127/200\\n\",\n \"56/56 [==============================] - 0s 78us/step - loss: 0.3328 - acc: 0.8750\\n\",\n \"Epoch 128/200\\n\",\n \"56/56 [==============================] - 0s 98us/step - loss: 0.3456 - acc: 0.8929\\n\",\n \"Epoch 129/200\\n\",\n \"56/56 [==============================] - 0s 79us/step - loss: 0.3267 - acc: 0.8571\\n\",\n \"Epoch 130/200\\n\",\n \"56/56 [==============================] - 0s 71us/step - loss: 0.3431 - acc: 0.8393\\n\",\n \"Epoch 131/200\\n\",\n \"56/56 [==============================] - 0s 76us/step - loss: 0.3288 - acc: 0.8393\\n\",\n \"Epoch 132/200\\n\",\n \"56/56 [==============================] - 0s 80us/step - loss: 0.3359 - acc: 0.9107\\n\",\n \"Epoch 133/200\\n\",\n \"56/56 [==============================] - 0s 68us/step - loss: 0.2904 - acc: 0.8929\\n\",\n \"Epoch 134/200\\n\",\n \"56/56 [==============================] - 0s 84us/step - loss: 0.3375 - acc: 0.8750\\n\",\n \"Epoch 135/200\\n\",\n \"56/56 [==============================] - 0s 67us/step - loss: 0.3342 - acc: 0.8571\\n\",\n \"Epoch 136/200\\n\",\n \"56/56 [==============================] - 0s 65us/step - loss: 0.3219 - acc: 0.8750\\n\",\n \"Epoch 137/200\\n\",\n \"56/56 [==============================] - 0s 74us/step - loss: 0.3117 - acc: 0.8571\\n\",\n \"Epoch 138/200\\n\",\n \"56/56 [==============================] - 0s 81us/step - loss: 0.3151 - acc: 0.8571\\n\",\n \"Epoch 139/200\\n\",\n \"56/56 [==============================] - 0s 63us/step - loss: 0.3133 - acc: 0.8393\\n\",\n \"Epoch 140/200\\n\",\n \"56/56 [==============================] - 0s 76us/step - loss: 0.3086 - acc: 0.8393\\n\",\n \"Epoch 141/200\\n\",\n \"56/56 [==============================] - 0s 79us/step - loss: 0.3999 - acc: 0.7679\\n\",\n \"Epoch 142/200\\n\",\n \"56/56 [==============================] - 0s 69us/step - loss: 0.3015 - acc: 0.8036\\n\",\n \"Epoch 143/200\\n\",\n \"56/56 [==============================] - 0s 63us/step - loss: 0.3159 - acc: 0.8036\\n\",\n \"Epoch 144/200\\n\",\n \"56/56 [==============================] - 0s 70us/step - loss: 0.3227 - acc: 0.8393\\n\",\n \"Epoch 145/200\\n\",\n \"56/56 [==============================] - 0s 73us/step - loss: 0.2770 - acc: 0.8929\\n\",\n \"Epoch 146/200\\n\",\n \"56/56 [==============================] - 0s 81us/step - loss: 0.3155 - acc: 0.8750\\n\",\n \"Epoch 147/200\\n\",\n \"56/56 [==============================] - ETA: 0s - loss: 0.2043 - acc: 0.920 - 0s 80us/step - loss: 0.3265 - acc: 0.8393\\n\",\n \"Epoch 148/200\\n\",\n \"56/56 [==============================] - 0s 79us/step - loss: 0.3047 - acc: 0.8571\\n\",\n \"Epoch 149/200\\n\",\n \"56/56 [==============================] - 0s 94us/step - loss: 0.3051 - acc: 0.8750\\n\",\n \"Epoch 150/200\\n\",\n \"56/56 [==============================] - 0s 95us/step - loss: 0.3210 - acc: 0.8750\\n\",\n \"Epoch 151/200\\n\",\n \"56/56 [==============================] - 0s 94us/step - loss: 0.3338 - acc: 0.8571\\n\",\n \"Epoch 152/200\\n\",\n \"56/56 [==============================] - 0s 70us/step - loss: 0.3108 - acc: 0.8393\\n\",\n \"Epoch 153/200\\n\",\n \"56/56 [==============================] - 0s 67us/step - loss: 0.2752 - acc: 0.8929\\n\",\n \"Epoch 154/200\\n\",\n \"56/56 [==============================] - 0s 93us/step - loss: 0.3082 - acc: 0.8393\\n\",\n \"Epoch 155/200\\n\",\n \"56/56 [==============================] - 0s 67us/step - loss: 0.3121 - acc: 0.8571\\n\",\n \"Epoch 156/200\\n\",\n \"56/56 [==============================] - 0s 60us/step - loss: 0.2853 - acc: 0.8750\\n\",\n \"Epoch 157/200\\n\",\n \"56/56 [==============================] - 0s 66us/step - loss: 0.2739 - acc: 0.8750\\n\",\n \"Epoch 158/200\\n\",\n \"56/56 [==============================] - 0s 62us/step - loss: 0.2978 - acc: 0.8571\\n\",\n \"Epoch 159/200\\n\",\n \"56/56 [==============================] - 0s 76us/step - loss: 0.3054 - acc: 0.8393\\n\",\n \"Epoch 160/200\\n\",\n \"56/56 [==============================] - 0s 77us/step - loss: 0.2667 - acc: 0.8571\\n\",\n \"Epoch 161/200\\n\",\n \"56/56 [==============================] - 0s 68us/step - loss: 0.2680 - acc: 0.8393\\n\",\n \"Epoch 162/200\\n\",\n \"56/56 [==============================] - 0s 85us/step - loss: 0.2400 - acc: 0.9464\\n\",\n \"Epoch 163/200\\n\",\n \"56/56 [==============================] - 0s 65us/step - loss: 0.2712 - acc: 0.8929\\n\",\n \"Epoch 164/200\\n\",\n \"56/56 [==============================] - 0s 66us/step - loss: 0.2761 - acc: 0.8929\\n\",\n \"Epoch 165/200\\n\",\n \"56/56 [==============================] - 0s 75us/step - loss: 0.2661 - acc: 0.8393\\n\",\n \"Epoch 166/200\\n\",\n \"56/56 [==============================] - 0s 68us/step - loss: 0.2383 - acc: 0.9107\\n\",\n \"Epoch 167/200\\n\",\n \"56/56 [==============================] - 0s 65us/step - loss: 0.3636 - acc: 0.8036\\n\",\n \"Epoch 168/200\\n\",\n \"56/56 [==============================] - 0s 77us/step - loss: 0.2232 - acc: 0.8929\\n\",\n \"Epoch 169/200\\n\",\n \"56/56 [==============================] - 0s 75us/step - loss: 0.2401 - acc: 0.9464\\n\",\n \"Epoch 170/200\\n\"\n ]\n },\n {\n \"name\": \"stdout\",\n \"output_type\": \"stream\",\n \"text\": [\n \"56/56 [==============================] - 0s 70us/step - loss: 0.2678 - acc: 0.9107\\n\",\n \"Epoch 171/200\\n\",\n \"56/56 [==============================] - 0s 62us/step - loss: 0.2800 - acc: 0.8929\\n\",\n \"Epoch 172/200\\n\",\n \"56/56 [==============================] - 0s 61us/step - loss: 0.3129 - acc: 0.7857\\n\",\n \"Epoch 173/200\\n\",\n \"56/56 [==============================] - 0s 76us/step - loss: 0.2324 - acc: 0.9107\\n\",\n \"Epoch 174/200\\n\",\n \"56/56 [==============================] - 0s 66us/step - loss: 0.2621 - acc: 0.8750\\n\",\n \"Epoch 175/200\\n\",\n \"56/56 [==============================] - 0s 70us/step - loss: 0.2920 - acc: 0.8750\\n\",\n \"Epoch 176/200\\n\",\n \"56/56 [==============================] - 0s 64us/step - loss: 0.3364 - acc: 0.8214\\n\",\n \"Epoch 177/200\\n\",\n \"56/56 [==============================] - 0s 84us/step - loss: 0.2525 - acc: 0.9107\\n\",\n \"Epoch 178/200\\n\",\n \"56/56 [==============================] - 0s 60us/step - loss: 0.2810 - acc: 0.8571\\n\",\n \"Epoch 179/200\\n\",\n \"56/56 [==============================] - 0s 70us/step - loss: 0.2379 - acc: 0.9107\\n\",\n \"Epoch 180/200\\n\",\n \"56/56 [==============================] - 0s 80us/step - loss: 0.2494 - acc: 0.8929\\n\",\n \"Epoch 181/200\\n\",\n \"56/56 [==============================] - 0s 70us/step - loss: 0.2555 - acc: 0.8929\\n\",\n \"Epoch 182/200\\n\",\n \"56/56 [==============================] - 0s 67us/step - loss: 0.2745 - acc: 0.8750\\n\",\n \"Epoch 183/200\\n\",\n \"56/56 [==============================] - 0s 79us/step - loss: 0.2340 - acc: 0.8929\\n\",\n \"Epoch 184/200\\n\",\n \"56/56 [==============================] - 0s 83us/step - loss: 0.2495 - acc: 0.9107\\n\",\n \"Epoch 185/200\\n\",\n \"56/56 [==============================] - 0s 67us/step - loss: 0.2176 - acc: 0.8750\\n\",\n \"Epoch 186/200\\n\",\n \"56/56 [==============================] - 0s 67us/step - loss: 0.2548 - acc: 0.8393\\n\",\n \"Epoch 187/200\\n\",\n \"56/56 [==============================] - 0s 66us/step - loss: 0.2709 - acc: 0.8750\\n\",\n \"Epoch 188/200\\n\",\n \"56/56 [==============================] - 0s 94us/step - loss: 0.2596 - acc: 0.8571\\n\",\n \"Epoch 189/200\\n\",\n \"56/56 [==============================] - 0s 65us/step - loss: 0.2723 - acc: 0.8393\\n\",\n \"Epoch 190/200\\n\",\n \"56/56 [==============================] - 0s 66us/step - loss: 0.3178 - acc: 0.8750\\n\",\n \"Epoch 191/200\\n\",\n \"56/56 [==============================] - 0s 95us/step - loss: 0.2505 - acc: 0.8929\\n\",\n \"Epoch 192/200\\n\",\n \"56/56 [==============================] - 0s 67us/step - loss: 0.2231 - acc: 0.8750\\n\",\n \"Epoch 193/200\\n\",\n \"56/56 [==============================] - 0s 93us/step - loss: 0.2678 - acc: 0.8929\\n\",\n \"Epoch 194/200\\n\",\n \"56/56 [==============================] - 0s 108us/step - loss: 0.2739 - acc: 0.8393\\n\",\n \"Epoch 195/200\\n\",\n \"56/56 [==============================] - 0s 86us/step - loss: 0.2627 - acc: 0.8750\\n\",\n \"Epoch 196/200\\n\",\n \"56/56 [==============================] - 0s 75us/step - loss: 0.3220 - acc: 0.8393\\n\",\n \"Epoch 197/200\\n\",\n \"56/56 [==============================] - 0s 79us/step - loss: 0.2460 - acc: 0.8929\\n\",\n \"Epoch 198/200\\n\",\n \"56/56 [==============================] - 0s 66us/step - loss: 0.2550 - acc: 0.8929\\n\",\n \"Epoch 199/200\\n\",\n \"56/56 [==============================] - 0s 76us/step - loss: 0.2437 - acc: 0.8929\\n\",\n \"Epoch 200/200\\n\",\n \"56/56 [==============================] - 0s 61us/step - loss: 0.2493 - acc: 0.8929\\n\"\n ]\n },\n {\n \"data\": {\n \"text/plain\": [\n \"\"\n ]\n },\n \"execution_count\": 17,\n \"metadata\": {},\n \"output_type\": \"execute_result\"\n }\n ],\n \"source\": [\n \"opt = SGD(lr=0.01)\\n\",\n \"model = Sequential()\\n\",\n \"model.add(Dense(128, activation='relu', input_shape=(50,)))\\n\",\n \"model.add(Dropout(0.5))\\n\",\n \"model.add(Dense(128, activation='relu'))\\n\",\n \"model.add(Dropout(0.5))\\n\",\n \"model.add(Dense(y.shape[1], activation='softmax'))\\n\",\n \"model.compile(optimizer='Adam',\\n\",\n \" loss='categorical_crossentropy',\\n\",\n \" metrics=['accuracy'])\\n\",\n \"model.fit(X, y, epochs=200,batch_size=25)\"\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 18,\n \"metadata\": {},\n \"outputs\": [\n {\n \"name\": \"stdout\",\n \"output_type\": \"stream\",\n \"text\": [\n \"Epoch 1/500\\n\",\n \"56/56 [==============================] - 0s 4ms/step - loss: 1.1755 - acc: 0.2857\\n\",\n \"Epoch 2/500\\n\",\n \"56/56 [==============================] - 0s 83us/step - loss: 1.1476 - acc: 0.3036\\n\",\n \"Epoch 3/500\\n\",\n \"56/56 [==============================] - 0s 63us/step - loss: 1.1500 - acc: 0.2500\\n\",\n \"Epoch 4/500\\n\",\n \"56/56 [==============================] - 0s 60us/step - loss: 1.1591 - acc: 0.3214\\n\",\n \"Epoch 5/500\\n\",\n \"56/56 [==============================] - 0s 82us/step - loss: 1.1428 - acc: 0.3750\\n\",\n \"Epoch 6/500\\n\",\n \"56/56 [==============================] - 0s 77us/step - loss: 1.1098 - acc: 0.3393\\n\",\n \"Epoch 7/500\\n\",\n \"56/56 [==============================] - 0s 61us/step - loss: 1.1165 - acc: 0.2857\\n\",\n \"Epoch 8/500\\n\",\n \"56/56 [==============================] - 0s 57us/step - loss: 1.1031 - acc: 0.3929\\n\",\n \"Epoch 9/500\\n\",\n \"56/56 [==============================] - 0s 67us/step - loss: 1.0903 - acc: 0.3750\\n\",\n \"Epoch 10/500\\n\",\n \"56/56 [==============================] - 0s 86us/step - loss: 1.0967 - acc: 0.3393\\n\",\n \"Epoch 11/500\\n\",\n \"56/56 [==============================] - 0s 78us/step - loss: 1.0475 - acc: 0.5179\\n\",\n \"Epoch 12/500\\n\",\n \"56/56 [==============================] - 0s 77us/step - loss: 1.0899 - acc: 0.4464\\n\",\n \"Epoch 13/500\\n\",\n \"56/56 [==============================] - 0s 70us/step - loss: 1.1095 - acc: 0.3571\\n\",\n \"Epoch 14/500\\n\",\n \"56/56 [==============================] - 0s 75us/step - loss: 1.1188 - acc: 0.3036\\n\",\n \"Epoch 15/500\\n\",\n \"56/56 [==============================] - 0s 102us/step - loss: 1.0968 - acc: 0.3929\\n\",\n \"Epoch 16/500\\n\",\n \"56/56 [==============================] - 0s 79us/step - loss: 1.0653 - acc: 0.4821\\n\",\n \"Epoch 17/500\\n\",\n \"56/56 [==============================] - 0s 67us/step - loss: 1.1007 - acc: 0.3929\\n\",\n \"Epoch 18/500\\n\",\n \"56/56 [==============================] - 0s 67us/step - loss: 1.0833 - acc: 0.4107\\n\",\n \"Epoch 19/500\\n\",\n \"56/56 [==============================] - 0s 82us/step - loss: 1.0857 - acc: 0.4107\\n\",\n \"Epoch 20/500\\n\",\n \"56/56 [==============================] - 0s 96us/step - loss: 1.0636 - acc: 0.3929\\n\",\n \"Epoch 21/500\\n\",\n \"56/56 [==============================] - 0s 74us/step - loss: 1.0989 - acc: 0.3750\\n\",\n \"Epoch 22/500\\n\",\n \"56/56 [==============================] - 0s 76us/step - loss: 1.0808 - acc: 0.4107\\n\",\n \"Epoch 23/500\\n\",\n \"56/56 [==============================] - 0s 60us/step - loss: 1.0649 - acc: 0.4464\\n\",\n \"Epoch 24/500\\n\",\n \"56/56 [==============================] - 0s 72us/step - loss: 1.0636 - acc: 0.4286\\n\",\n \"Epoch 25/500\\n\",\n \"56/56 [==============================] - 0s 65us/step - loss: 1.0634 - acc: 0.4286\\n\",\n \"Epoch 26/500\\n\",\n \"56/56 [==============================] - 0s 86us/step - loss: 1.0618 - acc: 0.4643\\n\",\n \"Epoch 27/500\\n\",\n \"56/56 [==============================] - 0s 82us/step - loss: 1.0717 - acc: 0.4464\\n\",\n \"Epoch 28/500\\n\",\n \"56/56 [==============================] - 0s 66us/step - loss: 1.0803 - acc: 0.4821\\n\",\n \"Epoch 29/500\\n\",\n \"56/56 [==============================] - 0s 62us/step - loss: 1.0222 - acc: 0.4821\\n\",\n \"Epoch 30/500\\n\",\n \"56/56 [==============================] - 0s 68us/step - loss: 1.0607 - acc: 0.4821\\n\",\n \"Epoch 31/500\\n\",\n \"56/56 [==============================] - 0s 96us/step - loss: 1.0365 - acc: 0.4107\\n\",\n \"Epoch 32/500\\n\",\n \"56/56 [==============================] - 0s 117us/step - loss: 1.0732 - acc: 0.4643\\n\",\n \"Epoch 33/500\\n\",\n \"56/56 [==============================] - 0s 64us/step - loss: 1.0230 - acc: 0.5000\\n\",\n \"Epoch 34/500\\n\",\n \"56/56 [==============================] - 0s 82us/step - loss: 1.0510 - acc: 0.4821\\n\",\n \"Epoch 35/500\\n\",\n \"56/56 [==============================] - 0s 75us/step - loss: 1.0233 - acc: 0.4821\\n\",\n \"Epoch 36/500\\n\",\n \"56/56 [==============================] - 0s 103us/step - loss: 1.0239 - acc: 0.4464\\n\",\n \"Epoch 37/500\\n\",\n \"56/56 [==============================] - 0s 83us/step - loss: 1.0487 - acc: 0.4643\\n\",\n \"Epoch 38/500\\n\",\n \"56/56 [==============================] - 0s 69us/step - loss: 1.0535 - acc: 0.4821\\n\",\n \"Epoch 39/500\\n\",\n \"56/56 [==============================] - 0s 89us/step - loss: 1.0189 - acc: 0.4464\\n\",\n \"Epoch 40/500\\n\",\n \"56/56 [==============================] - 0s 88us/step - loss: 1.0515 - acc: 0.4464\\n\",\n \"Epoch 41/500\\n\",\n \"56/56 [==============================] - 0s 64us/step - loss: 0.9791 - acc: 0.4821\\n\",\n \"Epoch 42/500\\n\",\n \"56/56 [==============================] - 0s 76us/step - loss: 0.9726 - acc: 0.4821\\n\",\n \"Epoch 43/500\\n\",\n \"56/56 [==============================] - 0s 72us/step - loss: 1.0223 - acc: 0.4286\\n\",\n \"Epoch 44/500\\n\",\n \"56/56 [==============================] - 0s 71us/step - loss: 1.0337 - acc: 0.5000\\n\",\n \"Epoch 45/500\\n\",\n \"56/56 [==============================] - 0s 83us/step - loss: 1.0041 - acc: 0.4464\\n\",\n \"Epoch 46/500\\n\",\n \"56/56 [==============================] - 0s 80us/step - loss: 1.0413 - acc: 0.5000\\n\",\n \"Epoch 47/500\\n\",\n \"56/56 [==============================] - 0s 65us/step - loss: 0.9941 - acc: 0.5000\\n\",\n \"Epoch 48/500\\n\",\n \"56/56 [==============================] - 0s 67us/step - loss: 0.9905 - acc: 0.4821\\n\",\n \"Epoch 49/500\\n\",\n \"56/56 [==============================] - 0s 82us/step - loss: 1.0075 - acc: 0.4286\\n\",\n \"Epoch 50/500\\n\",\n \"56/56 [==============================] - 0s 133us/step - loss: 0.9621 - acc: 0.5357\\n\",\n \"Epoch 51/500\\n\",\n \"56/56 [==============================] - 0s 93us/step - loss: 0.9519 - acc: 0.4643\\n\",\n \"Epoch 52/500\\n\",\n \"56/56 [==============================] - 0s 66us/step - loss: 0.9440 - acc: 0.5000\\n\",\n \"Epoch 53/500\\n\",\n \"56/56 [==============================] - 0s 170us/step - loss: 1.0151 - acc: 0.4643\\n\",\n \"Epoch 54/500\\n\",\n \"56/56 [==============================] - 0s 96us/step - loss: 0.9175 - acc: 0.5357\\n\",\n \"Epoch 55/500\\n\",\n \"56/56 [==============================] - 0s 73us/step - loss: 0.9544 - acc: 0.5536\\n\",\n \"Epoch 56/500\\n\",\n \"56/56 [==============================] - 0s 61us/step - loss: 0.9433 - acc: 0.5000\\n\",\n \"Epoch 57/500\\n\",\n \"56/56 [==============================] - 0s 66us/step - loss: 0.9153 - acc: 0.5536\\n\",\n \"Epoch 58/500\\n\",\n \"56/56 [==============================] - 0s 63us/step - loss: 0.9750 - acc: 0.5000\\n\",\n \"Epoch 59/500\\n\",\n \"56/56 [==============================] - 0s 78us/step - loss: 0.8819 - acc: 0.5893\\n\",\n \"Epoch 60/500\\n\",\n \"56/56 [==============================] - 0s 68us/step - loss: 0.9385 - acc: 0.5893\\n\",\n \"Epoch 61/500\\n\",\n \"56/56 [==============================] - 0s 63us/step - loss: 0.8707 - acc: 0.4821\\n\",\n \"Epoch 62/500\\n\",\n \"56/56 [==============================] - 0s 68us/step - loss: 0.8819 - acc: 0.5714\\n\",\n \"Epoch 63/500\\n\",\n \"56/56 [==============================] - 0s 118us/step - loss: 0.8938 - acc: 0.5000\\n\",\n \"Epoch 64/500\\n\",\n \"56/56 [==============================] - 0s 80us/step - loss: 0.8841 - acc: 0.5893\\n\",\n \"Epoch 65/500\\n\",\n \"56/56 [==============================] - 0s 59us/step - loss: 0.8665 - acc: 0.5357\\n\",\n \"Epoch 66/500\\n\",\n \"56/56 [==============================] - 0s 72us/step - loss: 0.8821 - acc: 0.6250\\n\",\n \"Epoch 67/500\\n\",\n \"56/56 [==============================] - 0s 89us/step - loss: 0.8912 - acc: 0.5714\\n\",\n \"Epoch 68/500\\n\",\n \"56/56 [==============================] - 0s 105us/step - loss: 0.8169 - acc: 0.5536\\n\",\n \"Epoch 69/500\\n\",\n \"56/56 [==============================] - 0s 80us/step - loss: 0.8791 - acc: 0.6250\\n\",\n \"Epoch 70/500\\n\",\n \"56/56 [==============================] - 0s 72us/step - loss: 0.7867 - acc: 0.6250\\n\",\n \"Epoch 71/500\\n\",\n \"56/56 [==============================] - 0s 75us/step - loss: 0.8477 - acc: 0.6071\\n\",\n \"Epoch 72/500\\n\",\n \"56/56 [==============================] - 0s 69us/step - loss: 0.7929 - acc: 0.5714\\n\",\n \"Epoch 73/500\\n\",\n \"56/56 [==============================] - 0s 66us/step - loss: 0.7660 - acc: 0.6429\\n\",\n \"Epoch 74/500\\n\",\n \"56/56 [==============================] - 0s 95us/step - loss: 0.8239 - acc: 0.6071\\n\",\n \"Epoch 75/500\\n\",\n \"56/56 [==============================] - 0s 86us/step - loss: 0.7885 - acc: 0.5893\\n\",\n \"Epoch 76/500\\n\",\n \"56/56 [==============================] - 0s 73us/step - loss: 0.8372 - acc: 0.5893\\n\",\n \"Epoch 77/500\\n\",\n \"56/56 [==============================] - 0s 77us/step - loss: 0.7358 - acc: 0.6250\\n\",\n \"Epoch 78/500\\n\",\n \"56/56 [==============================] - 0s 78us/step - loss: 0.8114 - acc: 0.5714\\n\",\n \"Epoch 79/500\\n\",\n \"56/56 [==============================] - 0s 66us/step - loss: 0.7740 - acc: 0.6071\\n\",\n \"Epoch 80/500\\n\",\n \"56/56 [==============================] - 0s 60us/step - loss: 0.7963 - acc: 0.6607\\n\",\n \"Epoch 81/500\\n\",\n \"56/56 [==============================] - ETA: 0s - loss: 0.8402 - acc: 0.520 - 0s 75us/step - loss: 0.8046 - acc: 0.5357\\n\",\n \"Epoch 82/500\\n\",\n \"56/56 [==============================] - 0s 70us/step - loss: 0.7435 - acc: 0.6071\\n\",\n \"Epoch 83/500\\n\",\n \"56/56 [==============================] - 0s 66us/step - loss: 0.7187 - acc: 0.6786\\n\",\n \"Epoch 84/500\\n\",\n \"56/56 [==============================] - 0s 79us/step - loss: 0.6943 - acc: 0.6964\\n\",\n \"Epoch 85/500\\n\",\n \"56/56 [==============================] - 0s 71us/step - loss: 0.7192 - acc: 0.6964\\n\"\n ]\n },\n {\n \"name\": \"stdout\",\n \"output_type\": \"stream\",\n \"text\": [\n \"Epoch 86/500\\n\",\n \"56/56 [==============================] - 0s 65us/step - loss: 0.6595 - acc: 0.6429\\n\",\n \"Epoch 87/500\\n\",\n \"56/56 [==============================] - 0s 72us/step - loss: 0.6975 - acc: 0.5893\\n\",\n \"Epoch 88/500\\n\",\n \"56/56 [==============================] - 0s 71us/step - loss: 0.6693 - acc: 0.6607\\n\",\n \"Epoch 89/500\\n\",\n \"56/56 [==============================] - 0s 71us/step - loss: 0.6520 - acc: 0.7143\\n\",\n \"Epoch 90/500\\n\",\n \"56/56 [==============================] - 0s 69us/step - loss: 0.7347 - acc: 0.6250\\n\",\n \"Epoch 91/500\\n\",\n \"56/56 [==============================] - 0s 60us/step - loss: 0.7615 - acc: 0.6429\\n\",\n \"Epoch 92/500\\n\",\n \"56/56 [==============================] - ETA: 0s - loss: 0.5417 - acc: 0.800 - 0s 82us/step - loss: 0.6381 - acc: 0.7321\\n\",\n \"Epoch 93/500\\n\",\n \"56/56 [==============================] - 0s 78us/step - loss: 0.6086 - acc: 0.7321\\n\",\n \"Epoch 94/500\\n\",\n \"56/56 [==============================] - 0s 73us/step - loss: 0.6893 - acc: 0.6429\\n\",\n \"Epoch 95/500\\n\",\n \"56/56 [==============================] - 0s 71us/step - loss: 0.6588 - acc: 0.6607\\n\",\n \"Epoch 96/500\\n\",\n \"56/56 [==============================] - 0s 73us/step - loss: 0.6745 - acc: 0.6250\\n\",\n \"Epoch 97/500\\n\",\n \"56/56 [==============================] - 0s 72us/step - loss: 0.6267 - acc: 0.6250\\n\",\n \"Epoch 98/500\\n\",\n \"56/56 [==============================] - 0s 94us/step - loss: 0.5832 - acc: 0.7143\\n\",\n \"Epoch 99/500\\n\",\n \"56/56 [==============================] - 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0s 71us/step - loss: 0.5037 - acc: 0.7321\\n\",\n \"Epoch 109/500\\n\",\n \"56/56 [==============================] - 0s 83us/step - loss: 0.6323 - acc: 0.7500\\n\",\n \"Epoch 110/500\\n\",\n \"56/56 [==============================] - 0s 64us/step - loss: 0.6272 - acc: 0.7143\\n\",\n \"Epoch 111/500\\n\",\n \"56/56 [==============================] - 0s 60us/step - loss: 0.5004 - acc: 0.7679\\n\",\n \"Epoch 112/500\\n\",\n \"56/56 [==============================] - 0s 70us/step - loss: 0.5375 - acc: 0.7321\\n\",\n \"Epoch 113/500\\n\",\n \"56/56 [==============================] - 0s 70us/step - loss: 0.5319 - acc: 0.7143\\n\",\n \"Epoch 114/500\\n\",\n \"56/56 [==============================] - 0s 68us/step - loss: 0.6159 - acc: 0.6607\\n\",\n \"Epoch 115/500\\n\",\n \"56/56 [==============================] - 0s 62us/step - loss: 0.5400 - acc: 0.7679\\n\",\n \"Epoch 116/500\\n\",\n \"56/56 [==============================] - 0s 109us/step - loss: 0.5670 - acc: 0.6786\\n\",\n \"Epoch 117/500\\n\",\n \"56/56 [==============================] - 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0s 102us/step - loss: 0.4179 - acc: 0.7321\\n\",\n \"Epoch 154/500\\n\",\n \"56/56 [==============================] - 0s 86us/step - loss: 0.4216 - acc: 0.7679\\n\",\n \"Epoch 155/500\\n\",\n \"56/56 [==============================] - 0s 108us/step - loss: 0.4411 - acc: 0.6607\\n\",\n \"Epoch 156/500\\n\",\n \"56/56 [==============================] - 0s 68us/step - loss: 0.4016 - acc: 0.8214\\n\",\n \"Epoch 157/500\\n\",\n \"56/56 [==============================] - 0s 83us/step - loss: 0.4084 - acc: 0.8036\\n\",\n \"Epoch 158/500\\n\",\n \"56/56 [==============================] - 0s 65us/step - loss: 0.4243 - acc: 0.7857\\n\",\n \"Epoch 159/500\\n\",\n \"56/56 [==============================] - 0s 68us/step - loss: 0.4396 - acc: 0.7679\\n\",\n \"Epoch 160/500\\n\",\n \"56/56 [==============================] - 0s 82us/step - loss: 0.4175 - acc: 0.7857\\n\",\n \"Epoch 161/500\\n\",\n \"56/56 [==============================] - 0s 81us/step - loss: 0.3928 - acc: 0.7679\\n\",\n \"Epoch 162/500\\n\",\n \"56/56 [==============================] - 0s 72us/step - loss: 0.4028 - acc: 0.7679\\n\",\n \"Epoch 163/500\\n\",\n \"56/56 [==============================] - 0s 69us/step - loss: 0.4110 - acc: 0.7679\\n\",\n \"Epoch 164/500\\n\",\n \"56/56 [==============================] - 0s 87us/step - loss: 0.3982 - acc: 0.8393\\n\",\n \"Epoch 165/500\\n\",\n \"56/56 [==============================] - 0s 74us/step - loss: 0.4702 - acc: 0.6607\\n\",\n \"Epoch 166/500\\n\",\n \"56/56 [==============================] - 0s 63us/step - loss: 0.4064 - acc: 0.7857\\n\",\n \"Epoch 167/500\\n\",\n \"56/56 [==============================] - 0s 67us/step - loss: 0.4034 - acc: 0.8214\\n\",\n \"Epoch 168/500\\n\",\n \"56/56 [==============================] - 0s 74us/step - loss: 0.3859 - acc: 0.8036\\n\",\n \"Epoch 169/500\\n\",\n \"56/56 [==============================] - 0s 65us/step - loss: 0.4589 - acc: 0.8036\\n\",\n \"Epoch 170/500\\n\"\n ]\n },\n {\n \"name\": \"stdout\",\n \"output_type\": \"stream\",\n \"text\": [\n \"56/56 [==============================] - 0s 71us/step - loss: 0.4366 - acc: 0.7321\\n\",\n \"Epoch 171/500\\n\",\n \"56/56 [==============================] - 0s 75us/step - loss: 0.3971 - acc: 0.7857\\n\",\n \"Epoch 172/500\\n\",\n \"56/56 [==============================] - 0s 75us/step - loss: 0.3896 - acc: 0.8214\\n\",\n \"Epoch 173/500\\n\",\n \"56/56 [==============================] - 0s 66us/step - loss: 0.4260 - acc: 0.6607\\n\",\n \"Epoch 174/500\\n\",\n \"56/56 [==============================] - 0s 63us/step - loss: 0.3747 - acc: 0.7857\\n\",\n \"Epoch 175/500\\n\",\n \"56/56 [==============================] - 0s 80us/step - loss: 0.4116 - acc: 0.7679\\n\",\n \"Epoch 176/500\\n\",\n \"56/56 [==============================] - 0s 73us/step - loss: 0.3785 - acc: 0.8214\\n\",\n \"Epoch 177/500\\n\",\n \"56/56 [==============================] - 0s 68us/step - loss: 0.3909 - acc: 0.8214\\n\",\n \"Epoch 178/500\\n\",\n \"56/56 [==============================] - 0s 66us/step - loss: 0.4703 - acc: 0.7500\\n\",\n \"Epoch 179/500\\n\",\n \"56/56 [==============================] - 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0s 73us/step - loss: 0.4383 - acc: 0.7857\\n\",\n \"Epoch 189/500\\n\",\n \"56/56 [==============================] - 0s 79us/step - loss: 0.3905 - acc: 0.8571\\n\",\n \"Epoch 190/500\\n\",\n \"56/56 [==============================] - 0s 71us/step - loss: 0.3636 - acc: 0.8750\\n\",\n \"Epoch 191/500\\n\",\n \"56/56 [==============================] - 0s 66us/step - loss: 0.3840 - acc: 0.7857\\n\",\n \"Epoch 192/500\\n\",\n \"56/56 [==============================] - 0s 72us/step - loss: 0.4142 - acc: 0.7857\\n\",\n \"Epoch 193/500\\n\",\n \"56/56 [==============================] - 0s 67us/step - loss: 0.3668 - acc: 0.7679\\n\",\n \"Epoch 194/500\\n\",\n \"56/56 [==============================] - 0s 71us/step - loss: 0.4258 - acc: 0.6964\\n\",\n \"Epoch 195/500\\n\",\n \"56/56 [==============================] - 0s 60us/step - loss: 0.3944 - acc: 0.7679\\n\",\n \"Epoch 196/500\\n\",\n \"56/56 [==============================] - 0s 72us/step - loss: 0.4621 - acc: 0.7500\\n\",\n \"Epoch 197/500\\n\",\n \"56/56 [==============================] - 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0s 62us/step - loss: 0.4941 - acc: 0.7321\\n\",\n \"Epoch 207/500\\n\",\n \"56/56 [==============================] - ETA: 0s - loss: 0.5370 - acc: 0.720 - 0s 78us/step - loss: 0.4433 - acc: 0.7500\\n\",\n \"Epoch 208/500\\n\",\n \"56/56 [==============================] - 0s 65us/step - loss: 0.4087 - acc: 0.7679\\n\",\n \"Epoch 209/500\\n\",\n \"56/56 [==============================] - 0s 87us/step - loss: 0.3692 - acc: 0.7500\\n\",\n \"Epoch 210/500\\n\",\n \"56/56 [==============================] - 0s 66us/step - loss: 0.3868 - acc: 0.7857\\n\",\n \"Epoch 211/500\\n\",\n \"56/56 [==============================] - 0s 88us/step - loss: 0.4678 - acc: 0.7143\\n\",\n \"Epoch 212/500\\n\",\n \"56/56 [==============================] - 0s 68us/step - loss: 0.4025 - acc: 0.8571\\n\",\n \"Epoch 213/500\\n\",\n \"56/56 [==============================] - 0s 73us/step - loss: 0.3768 - acc: 0.7679\\n\",\n \"Epoch 214/500\\n\",\n \"56/56 [==============================] - 0s 88us/step - loss: 0.3466 - acc: 0.8750\\n\",\n \"Epoch 215/500\\n\",\n \"56/56 [==============================] - 0s 73us/step - loss: 0.4051 - acc: 0.7857\\n\",\n \"Epoch 216/500\\n\",\n \"56/56 [==============================] - 0s 67us/step - loss: 0.3481 - acc: 0.8393\\n\",\n \"Epoch 217/500\\n\",\n \"56/56 [==============================] - 0s 77us/step - loss: 0.4529 - acc: 0.7143\\n\",\n \"Epoch 218/500\\n\",\n \"56/56 [==============================] - 0s 76us/step - loss: 0.3589 - acc: 0.7857\\n\",\n \"Epoch 219/500\\n\",\n \"56/56 [==============================] - 0s 65us/step - loss: 0.3879 - acc: 0.7679\\n\",\n \"Epoch 220/500\\n\",\n \"56/56 [==============================] - 0s 65us/step - loss: 0.3362 - acc: 0.8214\\n\",\n \"Epoch 221/500\\n\",\n \"56/56 [==============================] - 0s 69us/step - loss: 0.3615 - acc: 0.8036\\n\",\n \"Epoch 222/500\\n\",\n \"56/56 [==============================] - 0s 75us/step - loss: 0.3573 - acc: 0.8393\\n\",\n \"Epoch 223/500\\n\",\n \"56/56 [==============================] - 0s 69us/step - loss: 0.3705 - acc: 0.7500\\n\",\n \"Epoch 224/500\\n\",\n \"56/56 [==============================] - 0s 75us/step - loss: 0.3850 - acc: 0.7679\\n\",\n \"Epoch 225/500\\n\",\n \"56/56 [==============================] - 0s 90us/step - loss: 0.3312 - acc: 0.8571\\n\",\n \"Epoch 226/500\\n\",\n \"56/56 [==============================] - 0s 70us/step - loss: 0.4123 - acc: 0.7321\\n\",\n \"Epoch 227/500\\n\",\n \"56/56 [==============================] - 0s 74us/step - loss: 0.3750 - acc: 0.7857\\n\",\n \"Epoch 228/500\\n\",\n \"56/56 [==============================] - 0s 74us/step - loss: 0.3573 - acc: 0.7857\\n\",\n \"Epoch 229/500\\n\",\n \"56/56 [==============================] - 0s 78us/step - loss: 0.3605 - acc: 0.8214\\n\",\n \"Epoch 230/500\\n\",\n \"56/56 [==============================] - 0s 66us/step - loss: 0.3457 - acc: 0.8036\\n\",\n \"Epoch 231/500\\n\",\n \"56/56 [==============================] - 0s 65us/step - loss: 0.3445 - acc: 0.7679\\n\",\n \"Epoch 232/500\\n\",\n \"56/56 [==============================] - 0s 60us/step - loss: 0.3538 - acc: 0.7857\\n\",\n \"Epoch 233/500\\n\",\n \"56/56 [==============================] - 0s 83us/step - loss: 0.3624 - acc: 0.7679\\n\",\n \"Epoch 234/500\\n\",\n \"56/56 [==============================] - 0s 60us/step - loss: 0.4148 - acc: 0.6964\\n\",\n \"Epoch 235/500\\n\",\n \"56/56 [==============================] - 0s 57us/step - loss: 0.3780 - acc: 0.7321\\n\",\n \"Epoch 236/500\\n\",\n \"56/56 [==============================] - 0s 76us/step - loss: 0.3528 - acc: 0.7857\\n\",\n \"Epoch 237/500\\n\",\n \"56/56 [==============================] - 0s 93us/step - loss: 0.3867 - acc: 0.8214\\n\",\n \"Epoch 238/500\\n\",\n \"56/56 [==============================] - 0s 71us/step - loss: 0.3174 - acc: 0.8393\\n\",\n \"Epoch 239/500\\n\",\n \"56/56 [==============================] - 0s 112us/step - loss: 0.4054 - acc: 0.7500\\n\",\n \"Epoch 240/500\\n\",\n \"56/56 [==============================] - 0s 84us/step - loss: 0.4308 - acc: 0.7321\\n\",\n \"Epoch 241/500\\n\",\n \"56/56 [==============================] - 0s 63us/step - loss: 0.3166 - acc: 0.8571\\n\",\n \"Epoch 242/500\\n\",\n \"56/56 [==============================] - 0s 77us/step - loss: 0.3818 - acc: 0.8036\\n\",\n \"Epoch 243/500\\n\",\n \"56/56 [==============================] - 0s 72us/step - loss: 0.3704 - acc: 0.7857\\n\",\n \"Epoch 244/500\\n\",\n \"56/56 [==============================] - 0s 84us/step - loss: 0.3400 - acc: 0.8036\\n\",\n \"Epoch 245/500\\n\",\n \"56/56 [==============================] - 0s 73us/step - loss: 0.4424 - acc: 0.7857\\n\",\n \"Epoch 246/500\\n\",\n \"56/56 [==============================] - 0s 92us/step - loss: 0.3289 - acc: 0.7857\\n\",\n \"Epoch 247/500\\n\",\n \"56/56 [==============================] - 0s 64us/step - loss: 0.3683 - acc: 0.7679\\n\",\n \"Epoch 248/500\\n\",\n \"56/56 [==============================] - 0s 75us/step - loss: 0.3551 - acc: 0.7500\\n\",\n \"Epoch 249/500\\n\",\n \"56/56 [==============================] - 0s 85us/step - loss: 0.3318 - acc: 0.8929\\n\",\n \"Epoch 250/500\\n\",\n \"56/56 [==============================] - 0s 63us/step - loss: 0.3319 - acc: 0.8036\\n\",\n \"Epoch 251/500\\n\",\n \"56/56 [==============================] - 0s 76us/step - loss: 0.3576 - acc: 0.8036\\n\",\n \"Epoch 252/500\\n\",\n \"56/56 [==============================] - 0s 66us/step - loss: 0.3520 - acc: 0.8214\\n\",\n \"Epoch 253/500\\n\",\n \"56/56 [==============================] - 0s 87us/step - loss: 0.3614 - acc: 0.7500\\n\",\n \"Epoch 254/500\\n\"\n ]\n },\n {\n \"name\": \"stdout\",\n \"output_type\": \"stream\",\n \"text\": [\n \"56/56 [==============================] - 0s 77us/step - loss: 0.3264 - acc: 0.8036\\n\",\n \"Epoch 255/500\\n\",\n \"56/56 [==============================] - 0s 69us/step - loss: 0.2954 - acc: 0.8571\\n\",\n \"Epoch 256/500\\n\",\n \"56/56 [==============================] - 0s 112us/step - loss: 0.3095 - acc: 0.8214\\n\",\n \"Epoch 257/500\\n\",\n \"56/56 [==============================] - 0s 79us/step - loss: 0.3491 - acc: 0.7500\\n\",\n \"Epoch 258/500\\n\",\n \"56/56 [==============================] - 0s 65us/step - loss: 0.3050 - acc: 0.8036\\n\",\n \"Epoch 259/500\\n\",\n \"56/56 [==============================] - 0s 86us/step - loss: 0.3773 - acc: 0.7679\\n\",\n \"Epoch 260/500\\n\",\n \"56/56 [==============================] - 0s 72us/step - loss: 0.3345 - acc: 0.7857\\n\",\n \"Epoch 261/500\\n\",\n \"56/56 [==============================] - 0s 62us/step - loss: 0.3123 - acc: 0.8036\\n\",\n \"Epoch 262/500\\n\",\n \"56/56 [==============================] - 0s 63us/step - loss: 0.3070 - acc: 0.8036\\n\",\n \"Epoch 263/500\\n\",\n \"56/56 [==============================] - 0s 77us/step - loss: 0.3079 - acc: 0.8393\\n\",\n \"Epoch 264/500\\n\",\n \"56/56 [==============================] - 0s 60us/step - loss: 0.3604 - acc: 0.8393\\n\",\n \"Epoch 265/500\\n\",\n \"56/56 [==============================] - 0s 66us/step - loss: 0.3599 - acc: 0.8393\\n\",\n \"Epoch 266/500\\n\",\n \"56/56 [==============================] - 0s 71us/step - loss: 0.3568 - acc: 0.7857\\n\",\n \"Epoch 267/500\\n\",\n \"56/56 [==============================] - 0s 83us/step - loss: 0.3539 - acc: 0.7321\\n\",\n \"Epoch 268/500\\n\",\n \"56/56 [==============================] - 0s 58us/step - loss: 0.3065 - acc: 0.8036\\n\",\n \"Epoch 269/500\\n\",\n \"56/56 [==============================] - 0s 69us/step - loss: 0.3454 - acc: 0.7679\\n\",\n \"Epoch 270/500\\n\",\n \"56/56 [==============================] - 0s 83us/step - loss: 0.3172 - acc: 0.8214\\n\",\n \"Epoch 271/500\\n\",\n \"56/56 [==============================] - 0s 75us/step - loss: 0.3564 - acc: 0.7857\\n\",\n \"Epoch 272/500\\n\",\n \"56/56 [==============================] - 0s 69us/step - loss: 0.3110 - acc: 0.8750\\n\",\n \"Epoch 273/500\\n\",\n \"56/56 [==============================] - 0s 69us/step - loss: 0.3206 - acc: 0.7857\\n\",\n \"Epoch 274/500\\n\",\n \"56/56 [==============================] - 0s 80us/step - loss: 0.3492 - acc: 0.8393\\n\",\n \"Epoch 275/500\\n\",\n \"56/56 [==============================] - 0s 66us/step - loss: 0.2998 - acc: 0.8750\\n\",\n \"Epoch 276/500\\n\",\n \"56/56 [==============================] - 0s 69us/step - loss: 0.3074 - acc: 0.8036\\n\",\n \"Epoch 277/500\\n\",\n \"56/56 [==============================] - 0s 73us/step - loss: 0.3839 - acc: 0.8036\\n\",\n \"Epoch 278/500\\n\",\n \"56/56 [==============================] - 0s 73us/step - loss: 0.3918 - acc: 0.7679\\n\",\n \"Epoch 279/500\\n\",\n \"56/56 [==============================] - 0s 63us/step - loss: 0.3581 - acc: 0.8393\\n\",\n \"Epoch 280/500\\n\",\n \"56/56 [==============================] - 0s 70us/step - loss: 0.3640 - acc: 0.8571\\n\",\n \"Epoch 281/500\\n\",\n \"56/56 [==============================] - 0s 66us/step - loss: 0.3120 - acc: 0.8036\\n\",\n \"Epoch 282/500\\n\",\n \"56/56 [==============================] - 0s 65us/step - loss: 0.2886 - acc: 0.8571\\n\",\n \"Epoch 283/500\\n\",\n \"56/56 [==============================] - 0s 64us/step - loss: 0.3390 - acc: 0.8214\\n\",\n \"Epoch 284/500\\n\",\n \"56/56 [==============================] - 0s 66us/step - loss: 0.2645 - acc: 0.8571\\n\",\n \"Epoch 285/500\\n\",\n \"56/56 [==============================] - 0s 73us/step - loss: 0.3269 - acc: 0.7679\\n\",\n \"Epoch 286/500\\n\",\n \"56/56 [==============================] - 0s 69us/step - loss: 0.3346 - acc: 0.8036\\n\",\n \"Epoch 287/500\\n\",\n \"56/56 [==============================] - 0s 72us/step - loss: 0.3597 - acc: 0.8214\\n\",\n \"Epoch 288/500\\n\",\n \"56/56 [==============================] - 0s 63us/step - loss: 0.2999 - acc: 0.8214\\n\",\n \"Epoch 289/500\\n\",\n \"56/56 [==============================] - 0s 73us/step - loss: 0.3182 - acc: 0.8214\\n\",\n \"Epoch 290/500\\n\",\n \"56/56 [==============================] - 0s 66us/step - loss: 0.2691 - acc: 0.8750\\n\",\n \"Epoch 291/500\\n\",\n \"56/56 [==============================] - 0s 60us/step - loss: 0.3020 - acc: 0.8036\\n\",\n \"Epoch 292/500\\n\",\n \"56/56 [==============================] - 0s 77us/step - loss: 0.2965 - acc: 0.8571\\n\",\n \"Epoch 293/500\\n\",\n \"56/56 [==============================] - 0s 102us/step - loss: 0.3220 - acc: 0.8036\\n\",\n \"Epoch 294/500\\n\",\n \"56/56 [==============================] - 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0s 83us/step - loss: 0.2860 - acc: 0.8571\\n\",\n \"Epoch 304/500\\n\",\n \"56/56 [==============================] - 0s 71us/step - loss: 0.2930 - acc: 0.8750\\n\",\n \"Epoch 305/500\\n\",\n \"56/56 [==============================] - 0s 84us/step - loss: 0.3169 - acc: 0.7857\\n\",\n \"Epoch 306/500\\n\",\n \"56/56 [==============================] - 0s 63us/step - loss: 0.3069 - acc: 0.8214\\n\",\n \"Epoch 307/500\\n\",\n \"56/56 [==============================] - 0s 78us/step - loss: 0.2814 - acc: 0.8571\\n\",\n \"Epoch 308/500\\n\",\n \"56/56 [==============================] - 0s 74us/step - loss: 0.3451 - acc: 0.7857\\n\",\n \"Epoch 309/500\\n\",\n \"56/56 [==============================] - 0s 62us/step - loss: 0.2717 - acc: 0.8571\\n\",\n \"Epoch 310/500\\n\",\n \"56/56 [==============================] - 0s 70us/step - loss: 0.2609 - acc: 0.8214\\n\",\n \"Epoch 311/500\\n\",\n \"56/56 [==============================] - 0s 83us/step - loss: 0.3469 - acc: 0.8214\\n\",\n \"Epoch 312/500\\n\",\n \"56/56 [==============================] - 0s 74us/step - loss: 0.2853 - acc: 0.8036\\n\",\n \"Epoch 313/500\\n\",\n \"56/56 [==============================] - 0s 74us/step - loss: 0.3254 - acc: 0.8214\\n\",\n \"Epoch 314/500\\n\",\n \"56/56 [==============================] - 0s 83us/step - loss: 0.3169 - acc: 0.8571\\n\",\n \"Epoch 315/500\\n\",\n \"56/56 [==============================] - 0s 59us/step - loss: 0.3455 - acc: 0.7857\\n\",\n \"Epoch 316/500\\n\",\n \"56/56 [==============================] - 0s 67us/step - loss: 0.2923 - acc: 0.8214\\n\",\n \"Epoch 317/500\\n\",\n \"56/56 [==============================] - 0s 63us/step - loss: 0.2799 - acc: 0.8393\\n\",\n \"Epoch 318/500\\n\",\n \"56/56 [==============================] - 0s 73us/step - loss: 0.2910 - acc: 0.8571\\n\",\n \"Epoch 319/500\\n\",\n \"56/56 [==============================] - 0s 61us/step - loss: 0.3132 - acc: 0.8929\\n\",\n \"Epoch 320/500\\n\",\n \"56/56 [==============================] - 0s 60us/step - loss: 0.3381 - acc: 0.7857\\n\",\n \"Epoch 321/500\\n\",\n \"56/56 [==============================] - 0s 61us/step - loss: 0.2963 - acc: 0.8393\\n\",\n \"Epoch 322/500\\n\",\n \"56/56 [==============================] - 0s 80us/step - loss: 0.2639 - acc: 0.8571\\n\",\n \"Epoch 323/500\\n\",\n \"56/56 [==============================] - 0s 87us/step - loss: 0.2803 - acc: 0.8571\\n\",\n \"Epoch 324/500\\n\",\n \"56/56 [==============================] - 0s 73us/step - loss: 0.3418 - acc: 0.7857\\n\",\n \"Epoch 325/500\\n\",\n \"56/56 [==============================] - 0s 86us/step - loss: 0.3006 - acc: 0.8571\\n\",\n \"Epoch 326/500\\n\",\n \"56/56 [==============================] - 0s 60us/step - loss: 0.2915 - acc: 0.8571\\n\",\n \"Epoch 327/500\\n\",\n \"56/56 [==============================] - 0s 70us/step - loss: 0.3030 - acc: 0.8393\\n\",\n \"Epoch 328/500\\n\",\n \"56/56 [==============================] - 0s 77us/step - loss: 0.4071 - acc: 0.7679\\n\",\n \"Epoch 329/500\\n\",\n \"56/56 [==============================] - 0s 79us/step - loss: 0.3232 - acc: 0.8214\\n\",\n \"Epoch 330/500\\n\",\n \"56/56 [==============================] - 0s 65us/step - loss: 0.3049 - acc: 0.8750\\n\",\n \"Epoch 331/500\\n\",\n \"56/56 [==============================] - 0s 88us/step - loss: 0.2912 - acc: 0.8393\\n\",\n \"Epoch 332/500\\n\",\n \"56/56 [==============================] - 0s 93us/step - loss: 0.2399 - acc: 0.9286\\n\",\n \"Epoch 333/500\\n\",\n \"56/56 [==============================] - 0s 60us/step - loss: 0.2587 - acc: 0.9107\\n\",\n \"Epoch 334/500\\n\",\n \"56/56 [==============================] - 0s 73us/step - loss: 0.3410 - acc: 0.7857\\n\",\n \"Epoch 335/500\\n\",\n \"56/56 [==============================] - 0s 77us/step - loss: 0.2981 - acc: 0.8214\\n\",\n \"Epoch 336/500\\n\",\n \"56/56 [==============================] - 0s 70us/step - loss: 0.3115 - acc: 0.8571\\n\",\n \"Epoch 337/500\\n\",\n \"56/56 [==============================] - 0s 87us/step - loss: 0.2798 - acc: 0.8214\\n\",\n \"Epoch 338/500\\n\"\n ]\n },\n {\n \"name\": \"stdout\",\n \"output_type\": \"stream\",\n \"text\": [\n \"56/56 [==============================] - 0s 73us/step - loss: 0.2902 - acc: 0.8393\\n\",\n \"Epoch 339/500\\n\",\n \"56/56 [==============================] - 0s 98us/step - loss: 0.3000 - acc: 0.8393\\n\",\n \"Epoch 340/500\\n\",\n \"56/56 [==============================] - 0s 73us/step - loss: 0.3063 - acc: 0.8571\\n\",\n \"Epoch 341/500\\n\",\n \"56/56 [==============================] - 0s 76us/step - loss: 0.2626 - acc: 0.8750\\n\",\n \"Epoch 342/500\\n\",\n \"56/56 [==============================] - 0s 82us/step - loss: 0.2693 - acc: 0.8214\\n\",\n \"Epoch 343/500\\n\",\n \"56/56 [==============================] - 0s 72us/step - loss: 0.2581 - acc: 0.8571\\n\",\n \"Epoch 344/500\\n\",\n \"56/56 [==============================] - 0s 70us/step - loss: 0.2955 - acc: 0.8393\\n\",\n \"Epoch 345/500\\n\",\n \"56/56 [==============================] - 0s 82us/step - loss: 0.2246 - acc: 0.9107\\n\",\n \"Epoch 346/500\\n\",\n \"56/56 [==============================] - 0s 64us/step - loss: 0.2856 - acc: 0.8393\\n\",\n \"Epoch 347/500\\n\",\n \"56/56 [==============================] - 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0s 102us/step - loss: 0.3258 - acc: 0.7857\\n\",\n \"Epoch 357/500\\n\",\n \"56/56 [==============================] - 0s 69us/step - loss: 0.3084 - acc: 0.8571\\n\",\n \"Epoch 358/500\\n\",\n \"56/56 [==============================] - 0s 127us/step - loss: 0.2742 - acc: 0.8571\\n\",\n \"Epoch 359/500\\n\",\n \"56/56 [==============================] - 0s 90us/step - loss: 0.2687 - acc: 0.8571\\n\",\n \"Epoch 360/500\\n\",\n \"56/56 [==============================] - 0s 82us/step - loss: 0.2545 - acc: 0.8750\\n\",\n \"Epoch 361/500\\n\",\n \"56/56 [==============================] - 0s 66us/step - loss: 0.2891 - acc: 0.8750\\n\",\n \"Epoch 362/500\\n\",\n \"56/56 [==============================] - 0s 79us/step - loss: 0.2638 - acc: 0.8571\\n\",\n \"Epoch 363/500\\n\",\n \"56/56 [==============================] - 0s 108us/step - loss: 0.2981 - acc: 0.8393\\n\",\n \"Epoch 364/500\\n\",\n \"56/56 [==============================] - 0s 76us/step - loss: 0.2773 - acc: 0.8571\\n\",\n \"Epoch 365/500\\n\",\n \"56/56 [==============================] - 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0s 82us/step - loss: 0.2059 - acc: 0.9286\\n\",\n \"Epoch 375/500\\n\",\n \"56/56 [==============================] - 0s 96us/step - loss: 0.2460 - acc: 0.8393\\n\",\n \"Epoch 376/500\\n\",\n \"56/56 [==============================] - 0s 87us/step - loss: 0.2238 - acc: 0.9107\\n\",\n \"Epoch 377/500\\n\",\n \"56/56 [==============================] - 0s 116us/step - loss: 0.2136 - acc: 0.8929\\n\",\n \"Epoch 378/500\\n\",\n \"56/56 [==============================] - 0s 78us/step - loss: 0.2201 - acc: 0.9107\\n\",\n \"Epoch 379/500\\n\",\n \"56/56 [==============================] - 0s 80us/step - loss: 0.2931 - acc: 0.8929\\n\",\n \"Epoch 380/500\\n\",\n \"56/56 [==============================] - 0s 76us/step - loss: 0.3261 - acc: 0.8393\\n\",\n \"Epoch 381/500\\n\",\n \"56/56 [==============================] - 0s 87us/step - loss: 0.2851 - acc: 0.8750\\n\",\n \"Epoch 382/500\\n\",\n \"56/56 [==============================] - 0s 71us/step - loss: 0.2652 - acc: 0.8571\\n\",\n \"Epoch 383/500\\n\",\n \"56/56 [==============================] - 0s 79us/step - loss: 0.2867 - acc: 0.8214\\n\",\n \"Epoch 384/500\\n\",\n \"56/56 [==============================] - 0s 91us/step - loss: 0.2601 - acc: 0.8929\\n\",\n \"Epoch 385/500\\n\",\n \"56/56 [==============================] - 0s 87us/step - loss: 0.2789 - acc: 0.8571\\n\",\n \"Epoch 386/500\\n\",\n \"56/56 [==============================] - 0s 89us/step - loss: 0.3367 - acc: 0.8571\\n\",\n \"Epoch 387/500\\n\",\n \"56/56 [==============================] - 0s 81us/step - loss: 0.2679 - acc: 0.8929\\n\",\n \"Epoch 388/500\\n\",\n \"56/56 [==============================] - 0s 62us/step - loss: 0.2137 - acc: 0.8929\\n\",\n \"Epoch 389/500\\n\",\n \"56/56 [==============================] - 0s 75us/step - loss: 0.2869 - acc: 0.8214\\n\",\n \"Epoch 390/500\\n\",\n \"56/56 [==============================] - 0s 68us/step - loss: 0.2472 - acc: 0.8571\\n\",\n \"Epoch 391/500\\n\",\n \"56/56 [==============================] - 0s 77us/step - loss: 0.2111 - acc: 0.9107\\n\",\n \"Epoch 392/500\\n\",\n \"56/56 [==============================] - 0s 62us/step - loss: 0.2059 - acc: 0.9286\\n\",\n \"Epoch 393/500\\n\",\n \"56/56 [==============================] - 0s 64us/step - loss: 0.2934 - acc: 0.8393\\n\",\n \"Epoch 394/500\\n\",\n \"56/56 [==============================] - 0s 72us/step - loss: 0.2349 - acc: 0.8929\\n\",\n \"Epoch 395/500\\n\",\n \"56/56 [==============================] - 0s 73us/step - loss: 0.2402 - acc: 0.8571\\n\",\n \"Epoch 396/500\\n\",\n \"56/56 [==============================] - 0s 72us/step - loss: 0.2306 - acc: 0.8750\\n\",\n \"Epoch 397/500\\n\",\n \"56/56 [==============================] - 0s 69us/step - loss: 0.2039 - acc: 0.9464\\n\",\n \"Epoch 398/500\\n\",\n \"56/56 [==============================] - 0s 79us/step - loss: 0.1978 - acc: 0.9286\\n\",\n \"Epoch 399/500\\n\",\n \"56/56 [==============================] - 0s 71us/step - loss: 0.1587 - acc: 0.9464\\n\",\n \"Epoch 400/500\\n\",\n \"56/56 [==============================] - 0s 101us/step - loss: 0.2660 - acc: 0.8571\\n\",\n \"Epoch 401/500\\n\",\n \"56/56 [==============================] - 0s 125us/step - loss: 0.2881 - acc: 0.8214\\n\",\n \"Epoch 402/500\\n\",\n \"56/56 [==============================] - 0s 118us/step - loss: 0.2824 - acc: 0.8214\\n\",\n \"Epoch 403/500\\n\",\n \"56/56 [==============================] - 0s 83us/step - loss: 0.2414 - acc: 0.8929\\n\",\n \"Epoch 404/500\\n\",\n \"56/56 [==============================] - 0s 89us/step - loss: 0.2304 - acc: 0.8393\\n\",\n \"Epoch 405/500\\n\",\n \"56/56 [==============================] - 0s 93us/step - loss: 0.1763 - acc: 0.9821\\n\",\n \"Epoch 406/500\\n\",\n \"56/56 [==============================] - 0s 82us/step - loss: 0.2372 - acc: 0.8393\\n\",\n \"Epoch 407/500\\n\",\n \"56/56 [==============================] - 0s 79us/step - loss: 0.2548 - acc: 0.8214\\n\",\n \"Epoch 408/500\\n\",\n \"56/56 [==============================] - 0s 78us/step - loss: 0.2523 - acc: 0.8929\\n\",\n \"Epoch 409/500\\n\",\n \"56/56 [==============================] - 0s 75us/step - loss: 0.2572 - acc: 0.8214\\n\",\n \"Epoch 410/500\\n\",\n \"56/56 [==============================] - 0s 105us/step - loss: 0.2446 - acc: 0.8929\\n\",\n \"Epoch 411/500\\n\",\n \"56/56 [==============================] - 0s 91us/step - loss: 0.2491 - acc: 0.8750\\n\",\n \"Epoch 412/500\\n\",\n \"56/56 [==============================] - 0s 79us/step - loss: 0.2700 - acc: 0.8929\\n\",\n \"Epoch 413/500\\n\",\n \"56/56 [==============================] - 0s 96us/step - loss: 0.2317 - acc: 0.9286\\n\",\n \"Epoch 414/500\\n\",\n \"56/56 [==============================] - 0s 75us/step - loss: 0.1897 - acc: 0.9643\\n\",\n \"Epoch 415/500\\n\",\n \"56/56 [==============================] - 0s 75us/step - loss: 0.2421 - acc: 0.8214\\n\",\n \"Epoch 416/500\\n\",\n \"56/56 [==============================] - 0s 85us/step - loss: 0.3100 - acc: 0.8393\\n\",\n \"Epoch 417/500\\n\",\n \"56/56 [==============================] - 0s 74us/step - loss: 0.2015 - acc: 0.9107\\n\",\n \"Epoch 418/500\\n\",\n \"56/56 [==============================] - 0s 78us/step - loss: 0.2529 - acc: 0.8571\\n\",\n \"Epoch 419/500\\n\",\n \"56/56 [==============================] - 0s 106us/step - loss: 0.3382 - acc: 0.8036\\n\",\n \"Epoch 420/500\\n\",\n \"56/56 [==============================] - 0s 81us/step - loss: 0.1866 - acc: 0.8929\\n\",\n \"Epoch 421/500\\n\",\n \"56/56 [==============================] - 0s 96us/step - loss: 0.4363 - acc: 0.7857\\n\",\n \"Epoch 422/500\\n\"\n ]\n },\n {\n \"name\": \"stdout\",\n \"output_type\": \"stream\",\n \"text\": [\n \"56/56 [==============================] - 0s 99us/step - loss: 0.2788 - acc: 0.8393\\n\",\n \"Epoch 423/500\\n\",\n \"56/56 [==============================] - 0s 82us/step - loss: 0.2705 - acc: 0.8750\\n\",\n \"Epoch 424/500\\n\",\n \"56/56 [==============================] - 0s 78us/step - loss: 0.2407 - acc: 0.8571\\n\",\n \"Epoch 425/500\\n\",\n \"56/56 [==============================] - 0s 91us/step - loss: 0.2025 - acc: 0.9107\\n\",\n \"Epoch 426/500\\n\",\n \"56/56 [==============================] - 0s 78us/step - loss: 0.2208 - acc: 0.9286\\n\",\n \"Epoch 427/500\\n\",\n \"56/56 [==============================] - 0s 78us/step - loss: 0.2895 - acc: 0.8393\\n\",\n \"Epoch 428/500\\n\",\n \"56/56 [==============================] - 0s 84us/step - loss: 0.2260 - acc: 0.8750\\n\",\n \"Epoch 429/500\\n\",\n \"56/56 [==============================] - 0s 81us/step - loss: 0.2327 - acc: 0.8929\\n\",\n \"Epoch 430/500\\n\",\n \"56/56 [==============================] - 0s 83us/step - loss: 0.2579 - acc: 0.8750\\n\",\n \"Epoch 431/500\\n\",\n \"56/56 [==============================] - 0s 104us/step - loss: 0.1970 - acc: 0.9643\\n\",\n \"Epoch 432/500\\n\",\n \"56/56 [==============================] - 0s 73us/step - loss: 0.1758 - acc: 0.9464\\n\",\n \"Epoch 433/500\\n\",\n \"56/56 [==============================] - 0s 72us/step - loss: 0.2299 - acc: 0.8929\\n\",\n \"Epoch 434/500\\n\",\n \"56/56 [==============================] - 0s 75us/step - loss: 0.2580 - acc: 0.8571\\n\",\n \"Epoch 435/500\\n\",\n \"56/56 [==============================] - 0s 68us/step - loss: 0.2748 - acc: 0.8571\\n\",\n \"Epoch 436/500\\n\",\n \"56/56 [==============================] - 0s 67us/step - loss: 0.2504 - acc: 0.8929\\n\",\n \"Epoch 437/500\\n\",\n \"56/56 [==============================] - 0s 66us/step - loss: 0.2497 - acc: 0.8571\\n\",\n \"Epoch 438/500\\n\",\n \"56/56 [==============================] - 0s 106us/step - loss: 0.2053 - acc: 0.8929\\n\",\n \"Epoch 439/500\\n\",\n \"56/56 [==============================] - 0s 63us/step - loss: 0.2756 - acc: 0.8571\\n\",\n \"Epoch 440/500\\n\",\n \"56/56 [==============================] - 0s 70us/step - loss: 0.2126 - acc: 0.9107\\n\",\n \"Epoch 441/500\\n\",\n \"56/56 [==============================] - 0s 84us/step - loss: 0.2074 - acc: 0.9464\\n\",\n \"Epoch 442/500\\n\",\n \"56/56 [==============================] - 0s 172us/step - loss: 0.2734 - acc: 0.8393\\n\",\n \"Epoch 443/500\\n\",\n \"56/56 [==============================] - 0s 73us/step - loss: 0.2020 - acc: 0.9286\\n\",\n \"Epoch 444/500\\n\",\n \"56/56 [==============================] - 0s 68us/step - loss: 0.2842 - acc: 0.8929\\n\",\n \"Epoch 445/500\\n\",\n \"56/56 [==============================] - 0s 64us/step - loss: 0.2636 - acc: 0.8750\\n\",\n \"Epoch 446/500\\n\",\n \"56/56 [==============================] - 0s 78us/step - loss: 0.2291 - acc: 0.8571\\n\",\n \"Epoch 447/500\\n\",\n \"56/56 [==============================] - 0s 73us/step - loss: 0.2531 - acc: 0.8571\\n\",\n \"Epoch 448/500\\n\",\n \"56/56 [==============================] - 0s 72us/step - loss: 0.1889 - acc: 0.8929\\n\",\n \"Epoch 449/500\\n\",\n \"56/56 [==============================] - 0s 68us/step - loss: 0.2202 - acc: 0.9107\\n\",\n \"Epoch 450/500\\n\",\n \"56/56 [==============================] - 0s 58us/step - loss: 0.2991 - acc: 0.8393\\n\",\n \"Epoch 451/500\\n\",\n \"56/56 [==============================] - 0s 86us/step - loss: 0.2754 - acc: 0.9107\\n\",\n \"Epoch 452/500\\n\",\n \"56/56 [==============================] - 0s 66us/step - loss: 0.2126 - acc: 0.8929\\n\",\n \"Epoch 453/500\\n\",\n \"56/56 [==============================] - 0s 70us/step - loss: 0.2151 - acc: 0.8929\\n\",\n \"Epoch 454/500\\n\",\n \"56/56 [==============================] - 0s 73us/step - loss: 0.2761 - acc: 0.8750\\n\",\n \"Epoch 455/500\\n\",\n \"56/56 [==============================] - 0s 74us/step - loss: 0.2676 - acc: 0.8571\\n\",\n \"Epoch 456/500\\n\",\n \"56/56 [==============================] - 0s 64us/step - loss: 0.2657 - acc: 0.8750\\n\",\n \"Epoch 457/500\\n\",\n \"56/56 [==============================] - 0s 63us/step - loss: 0.2354 - acc: 0.8750\\n\",\n \"Epoch 458/500\\n\",\n \"56/56 [==============================] - 0s 91us/step - loss: 0.2334 - acc: 0.8214\\n\",\n \"Epoch 459/500\\n\",\n \"56/56 [==============================] - 0s 86us/step - loss: 0.2090 - acc: 0.8929\\n\",\n \"Epoch 460/500\\n\",\n \"56/56 [==============================] - 0s 65us/step - loss: 0.1975 - acc: 0.8750\\n\",\n \"Epoch 461/500\\n\",\n \"56/56 [==============================] - 0s 70us/step - loss: 0.2363 - acc: 0.8393\\n\",\n \"Epoch 462/500\\n\",\n \"56/56 [==============================] - 0s 73us/step - loss: 0.2013 - acc: 0.8929\\n\",\n \"Epoch 463/500\\n\",\n \"56/56 [==============================] - 0s 61us/step - loss: 0.2652 - acc: 0.8036\\n\",\n \"Epoch 464/500\\n\",\n \"56/56 [==============================] - 0s 61us/step - loss: 0.2596 - acc: 0.8214\\n\",\n \"Epoch 465/500\\n\",\n \"56/56 [==============================] - 0s 80us/step - loss: 0.2299 - acc: 0.8929\\n\",\n \"Epoch 466/500\\n\",\n \"56/56 [==============================] - 0s 80us/step - loss: 0.2467 - acc: 0.8571\\n\",\n \"Epoch 467/500\\n\",\n \"56/56 [==============================] - 0s 77us/step - loss: 0.1958 - acc: 0.9107\\n\",\n \"Epoch 468/500\\n\",\n \"56/56 [==============================] - 0s 61us/step - loss: 0.2022 - acc: 0.9107\\n\",\n \"Epoch 469/500\\n\",\n \"56/56 [==============================] - 0s 99us/step - loss: 0.2498 - acc: 0.8571\\n\",\n \"Epoch 470/500\\n\",\n \"56/56 [==============================] - 0s 64us/step - loss: 0.1826 - acc: 0.8929\\n\",\n \"Epoch 471/500\\n\",\n \"56/56 [==============================] - 0s 67us/step - loss: 0.2517 - acc: 0.8393\\n\",\n \"Epoch 472/500\\n\",\n \"56/56 [==============================] - 0s 60us/step - loss: 0.2128 - acc: 0.9107\\n\",\n \"Epoch 473/500\\n\",\n \"56/56 [==============================] - 0s 75us/step - loss: 0.2268 - acc: 0.8750\\n\",\n \"Epoch 474/500\\n\",\n \"56/56 [==============================] - 0s 74us/step - loss: 0.1905 - acc: 0.9286\\n\",\n \"Epoch 475/500\\n\",\n \"56/56 [==============================] - 0s 68us/step - loss: 0.2116 - acc: 0.8571\\n\",\n \"Epoch 476/500\\n\",\n \"56/56 [==============================] - 0s 76us/step - loss: 0.1538 - acc: 0.9643\\n\",\n \"Epoch 477/500\\n\",\n \"56/56 [==============================] - 0s 75us/step - loss: 0.2304 - acc: 0.8571\\n\",\n \"Epoch 478/500\\n\",\n \"56/56 [==============================] - 0s 62us/step - loss: 0.1982 - acc: 0.8929\\n\",\n \"Epoch 479/500\\n\",\n \"56/56 [==============================] - 0s 68us/step - loss: 0.2000 - acc: 0.8929\\n\",\n \"Epoch 480/500\\n\",\n \"56/56 [==============================] - 0s 85us/step - loss: 0.2103 - acc: 0.8929\\n\",\n \"Epoch 481/500\\n\",\n \"56/56 [==============================] - 0s 80us/step - loss: 0.1807 - acc: 0.9107\\n\",\n \"Epoch 482/500\\n\",\n \"56/56 [==============================] - 0s 73us/step - loss: 0.2520 - acc: 0.9107\\n\",\n \"Epoch 483/500\\n\",\n \"56/56 [==============================] - 0s 84us/step - loss: 0.2282 - acc: 0.8750\\n\",\n \"Epoch 484/500\\n\",\n \"56/56 [==============================] - 0s 85us/step - loss: 0.1835 - acc: 0.9286\\n\",\n \"Epoch 485/500\\n\",\n \"56/56 [==============================] - 0s 69us/step - loss: 0.2758 - acc: 0.8929\\n\",\n \"Epoch 486/500\\n\",\n \"56/56 [==============================] - 0s 64us/step - loss: 0.2305 - acc: 0.9107\\n\",\n \"Epoch 487/500\\n\",\n \"56/56 [==============================] - 0s 76us/step - loss: 0.1681 - acc: 0.9107\\n\",\n \"Epoch 488/500\\n\",\n \"56/56 [==============================] - 0s 77us/step - loss: 0.2828 - acc: 0.8750\\n\",\n \"Epoch 489/500\\n\",\n \"56/56 [==============================] - 0s 64us/step - loss: 0.3038 - acc: 0.8750\\n\",\n \"Epoch 490/500\\n\",\n \"56/56 [==============================] - 0s 66us/step - loss: 0.3866 - acc: 0.8036\\n\",\n \"Epoch 491/500\\n\",\n \"56/56 [==============================] - 0s 70us/step - loss: 0.2756 - acc: 0.8214\\n\",\n \"Epoch 492/500\\n\",\n \"56/56 [==============================] - 0s 60us/step - loss: 0.2007 - acc: 0.9107\\n\",\n \"Epoch 493/500\\n\",\n \"56/56 [==============================] - 0s 62us/step - loss: 0.1829 - acc: 0.8929\\n\",\n \"Epoch 494/500\\n\",\n \"56/56 [==============================] - 0s 57us/step - loss: 0.2896 - acc: 0.8571\\n\",\n \"Epoch 495/500\\n\",\n \"56/56 [==============================] - 0s 68us/step - loss: 0.2584 - acc: 0.8393\\n\",\n \"Epoch 496/500\\n\",\n \"56/56 [==============================] - 0s 83us/step - loss: 0.2933 - acc: 0.8571\\n\",\n \"Epoch 497/500\\n\",\n \"56/56 [==============================] - 0s 66us/step - loss: 0.1988 - acc: 0.9107\\n\",\n \"Epoch 498/500\\n\",\n \"56/56 [==============================] - 0s 76us/step - loss: 0.2371 - acc: 0.8750\\n\",\n \"Epoch 499/500\\n\",\n \"56/56 [==============================] - 0s 72us/step - loss: 0.1893 - acc: 0.8929\\n\",\n \"Epoch 500/500\\n\",\n \"56/56 [==============================] - 0s 71us/step - loss: 0.1702 - acc: 0.8929\\n\"\n ]\n },\n {\n \"data\": {\n \"text/plain\": [\n \"\"\n ]\n },\n \"execution_count\": 18,\n \"metadata\": {},\n \"output_type\": \"execute_result\"\n }\n ],\n \"source\": [\n \"opt = SGD(lr=0.01)\\n\",\n \"model = Sequential()\\n\",\n \"model.add(Dense(64, activation='relu', input_shape=(50,)))\\n\",\n \"model.add(Dropout(0.5))\\n\",\n \"model.add(Dense(64, activation='relu'))\\n\",\n \"model.add(Dropout(0.5))\\n\",\n \"model.add(Dense(64, activation='relu'))\\n\",\n \"model.add(Dropout(0.5))\\n\",\n \"model.add(Dense(y.shape[1], activation='softmax'))\\n\",\n \"model.compile(optimizer='Adam',\\n\",\n \" loss='categorical_crossentropy',\\n\",\n \" metrics=['accuracy'])\\n\",\n \"model.fit(X, y, epochs=500,batch_size=25)\"\n ]\n },\n {\n \"cell_type\": \"markdown\",\n \"metadata\": {},\n \"source\": [\n \"# Adding More Data and Beginning Data Augmentation\\n\",\n \"\\n\",\n \"We've started to improve upon our inital approach. Our accuracy is now approaching 0.76. But now, let's add more examples, and switch between a `train` and `test` dataset.\\n\",\n \"\\n\",\n \"I've run the data collection program again, and this time doubled the examples we have to train on. Now that we better understand our data, we can speed up it's import and cleaning.\"\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 19,\n \"metadata\": {},\n \"outputs\": [\n {\n \"name\": \"stdout\",\n \"output_type\": \"stream\",\n \"text\": [\n \"[0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\\n\",\n \" 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\\n\",\n \" 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\\n\",\n \" 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.\\n\",\n \" 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.\\n\",\n \" 1. 1. 1. 1. 2. 2. 2. 2. 2. 2. 2. 2. 2. 2. 2. 2. 2. 2. 2. 2. 2. 2. 2. 2.\\n\",\n \" 2. 2. 2. 2. 2. 2. 2. 2. 2. 2. 2. 2. 2. 2. 2. 2. 2. 2. 2. 2. 2. 2. 2. 2.\\n\",\n \" 2. 2. 2.]\\n\",\n \"171 total new samples\\n\"\n ]\n }\n ],\n \"source\": [\n \"dabDataset = np.load('data/more-dabs.npy')\\n\",\n \"tposeDataset = np.load('data/more-tposes.npy')\\n\",\n \"otherDataset = np.load('data/more-other.npy')\\n\",\n \"labels1 = np.zeros(len(otherDataset))\\n\",\n \"labels1 = np.append(labels1, np.full((len(dabDataset)), 1))\\n\",\n \"labels1 = np.append(labels1, np.full((len(tposeDataset)), 2))\\n\",\n \"print(labels1)\\n\",\n \"print(\\\"%i total new samples\\\" % len(labels1))\"\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 20,\n \"metadata\": {},\n \"outputs\": [\n {\n \"name\": \"stdout\",\n \"output_type\": \"stream\",\n \"text\": [\n \"(171, 25, 3)\\n\",\n \"(171, 25, 2)\\n\",\n \"(171, 50)\\n\"\n ]\n }\n ],\n \"source\": [\n \"dataset1 = np.append(otherDataset, dabDataset, axis=0)\\n\",\n \"dataset1 = np.append(dataset1, tposeDataset, axis=0)\\n\",\n \"X1, y1 = shuffle(dataset1, labels1)\\n\",\n \"y1 = to_categorical(y1, 3)\\n\",\n \"print(X1.shape)\\n\",\n \"X1[:,:,0] = X1[:,:,0] / 720 # I think the dimensions are 1280 x 720 ?\\n\",\n \"X1[:,:,1] = X1[:,:,1] / 1280 # let's see?\\n\",\n \"X1 = X1[:,:,:2]\\n\",\n \"print(X1.shape)\\n\",\n \"X1 = X1.reshape(len(X1), 50) # we got rid of confidence percentage\\n\",\n \"print(X1.shape)\"\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 21,\n \"metadata\": {},\n \"outputs\": [\n {\n \"name\": \"stdout\",\n \"output_type\": \"stream\",\n \"text\": [\n \"Epoch 1/2000\\n\",\n \"171/171 [==============================] - 0s 1ms/step - loss: 1.1371 - acc: 0.4094\\n\",\n \"Epoch 2/2000\\n\",\n \"171/171 [==============================] - 0s 49us/step - loss: 1.0732 - acc: 0.4795\\n\",\n \"Epoch 3/2000\\n\",\n \"171/171 [==============================] - 0s 52us/step - loss: 1.1044 - acc: 0.3626\\n\",\n \"Epoch 4/2000\\n\",\n \"171/171 [==============================] - 0s 53us/step - loss: 1.0715 - acc: 0.3860\\n\",\n \"Epoch 5/2000\\n\",\n \"171/171 [==============================] - 0s 48us/step - loss: 0.9873 - acc: 0.5263\\n\",\n \"Epoch 6/2000\\n\",\n \"171/171 [==============================] - 0s 52us/step - loss: 0.9624 - acc: 0.5322\\n\",\n \"Epoch 7/2000\\n\",\n \"171/171 [==============================] - 0s 47us/step - loss: 0.9664 - acc: 0.5029\\n\",\n \"Epoch 8/2000\\n\",\n \"171/171 [==============================] - 0s 51us/step - loss: 0.9284 - acc: 0.5848\\n\",\n \"Epoch 9/2000\\n\",\n \"171/171 [==============================] - 0s 38us/step - loss: 0.8881 - acc: 0.5731\\n\",\n \"Epoch 10/2000\\n\",\n \"171/171 [==============================] - 0s 44us/step - loss: 0.8896 - acc: 0.5731\\n\",\n \"Epoch 11/2000\\n\",\n \"171/171 [==============================] - 0s 54us/step - loss: 0.8169 - acc: 0.6842\\n\",\n \"Epoch 12/2000\\n\",\n \"171/171 [==============================] - 0s 45us/step - loss: 0.8130 - acc: 0.6667\\n\",\n \"Epoch 13/2000\\n\",\n \"171/171 [==============================] - 0s 43us/step - loss: 0.7389 - acc: 0.6959\\n\",\n \"Epoch 14/2000\\n\",\n \"171/171 [==============================] - 0s 43us/step - loss: 0.7201 - acc: 0.7018\\n\",\n \"Epoch 15/2000\\n\",\n \"171/171 [==============================] - 0s 43us/step - loss: 0.7248 - acc: 0.7251\\n\",\n \"Epoch 16/2000\\n\",\n \"171/171 [==============================] - 0s 63us/step - loss: 0.6527 - acc: 0.7310\\n\",\n \"Epoch 17/2000\\n\",\n \"171/171 [==============================] - 0s 46us/step - loss: 0.6444 - acc: 0.7544\\n\",\n \"Epoch 18/2000\\n\",\n \"171/171 [==============================] - 0s 41us/step - loss: 0.6190 - acc: 0.7193\\n\",\n \"Epoch 19/2000\\n\",\n \"171/171 [==============================] - 0s 47us/step - loss: 0.5889 - acc: 0.7544\\n\",\n \"Epoch 20/2000\\n\",\n \"171/171 [==============================] - 0s 55us/step - loss: 0.6330 - acc: 0.7193\\n\",\n \"Epoch 21/2000\\n\",\n \"171/171 [==============================] - 0s 44us/step - loss: 0.6211 - acc: 0.7485\\n\",\n \"Epoch 22/2000\\n\",\n \"171/171 [==============================] - 0s 50us/step - loss: 0.5920 - acc: 0.7251\\n\",\n \"Epoch 23/2000\\n\",\n \"171/171 [==============================] - 0s 50us/step - loss: 0.5359 - acc: 0.8070\\n\",\n \"Epoch 24/2000\\n\",\n \"171/171 [==============================] - 0s 50us/step - loss: 0.5524 - acc: 0.7895\\n\",\n \"Epoch 25/2000\\n\",\n \"171/171 [==============================] - 0s 47us/step - loss: 0.4928 - acc: 0.8129\\n\",\n \"Epoch 26/2000\\n\",\n \"171/171 [==============================] - 0s 46us/step - loss: 0.5196 - acc: 0.7836\\n\",\n \"Epoch 27/2000\\n\",\n \"171/171 [==============================] - 0s 52us/step - loss: 0.4998 - acc: 0.8480\\n\",\n \"Epoch 28/2000\\n\",\n \"171/171 [==============================] - 0s 54us/step - loss: 0.5198 - acc: 0.8070\\n\",\n \"Epoch 29/2000\\n\",\n \"171/171 [==============================] - 0s 44us/step - loss: 0.4595 - acc: 0.8187\\n\",\n \"Epoch 30/2000\\n\",\n \"171/171 [==============================] - 0s 45us/step - loss: 0.4464 - acc: 0.8596\\n\",\n \"Epoch 31/2000\\n\",\n \"171/171 [==============================] - 0s 45us/step - loss: 0.4135 - acc: 0.8596\\n\",\n \"Epoch 32/2000\\n\",\n \"171/171 [==============================] - 0s 42us/step - loss: 0.4532 - acc: 0.8246\\n\",\n \"Epoch 33/2000\\n\",\n \"171/171 [==============================] - 0s 48us/step - loss: 0.4044 - acc: 0.8421\\n\",\n \"Epoch 34/2000\\n\",\n \"171/171 [==============================] - 0s 48us/step - loss: 0.4188 - acc: 0.8363\\n\",\n \"Epoch 35/2000\\n\",\n \"171/171 [==============================] - 0s 54us/step - loss: 0.4013 - acc: 0.8129\\n\",\n \"Epoch 36/2000\\n\",\n \"171/171 [==============================] - 0s 48us/step - loss: 0.4298 - acc: 0.8363\\n\",\n \"Epoch 37/2000\\n\",\n \"171/171 [==============================] - 0s 59us/step - loss: 0.3770 - acc: 0.8713\\n\",\n \"Epoch 38/2000\\n\",\n \"171/171 [==============================] - 0s 56us/step - loss: 0.3568 - acc: 0.8596\\n\",\n \"Epoch 39/2000\\n\",\n \"171/171 [==============================] - 0s 53us/step - loss: 0.3762 - acc: 0.8538\\n\",\n \"Epoch 40/2000\\n\",\n \"171/171 [==============================] - 0s 44us/step - loss: 0.3255 - acc: 0.8947\\n\",\n \"Epoch 41/2000\\n\",\n \"171/171 [==============================] - 0s 51us/step - loss: 0.3799 - acc: 0.8713\\n\",\n \"Epoch 42/2000\\n\",\n \"171/171 [==============================] - 0s 49us/step - loss: 0.3443 - acc: 0.8889\\n\",\n \"Epoch 43/2000\\n\",\n \"171/171 [==============================] - 0s 41us/step - loss: 0.3142 - acc: 0.8772\\n\",\n \"Epoch 44/2000\\n\",\n \"171/171 [==============================] - 0s 51us/step - loss: 0.3075 - acc: 0.8830\\n\",\n \"Epoch 45/2000\\n\",\n \"171/171 [==============================] - 0s 48us/step - loss: 0.3339 - acc: 0.8713\\n\",\n \"Epoch 46/2000\\n\",\n \"171/171 [==============================] - 0s 49us/step - loss: 0.2961 - acc: 0.9123\\n\",\n \"Epoch 47/2000\\n\",\n \"171/171 [==============================] - 0s 49us/step - loss: 0.2889 - acc: 0.9064\\n\",\n \"Epoch 48/2000\\n\",\n \"171/171 [==============================] - 0s 58us/step - loss: 0.2800 - acc: 0.9006\\n\",\n \"Epoch 49/2000\\n\",\n \"171/171 [==============================] - 0s 51us/step - loss: 0.2636 - acc: 0.9181\\n\",\n \"Epoch 50/2000\\n\",\n \"171/171 [==============================] - 0s 72us/step - loss: 0.2902 - acc: 0.9006\\n\",\n \"Epoch 51/2000\\n\",\n \"171/171 [==============================] - 0s 54us/step - loss: 0.2643 - acc: 0.8947\\n\",\n \"Epoch 52/2000\\n\",\n \"171/171 [==============================] - 0s 45us/step - loss: 0.2746 - acc: 0.8947\\n\",\n \"Epoch 53/2000\\n\",\n \"171/171 [==============================] - 0s 47us/step - loss: 0.2511 - acc: 0.9123\\n\",\n \"Epoch 54/2000\\n\",\n \"171/171 [==============================] - 0s 39us/step - loss: 0.2546 - acc: 0.9064\\n\",\n \"Epoch 55/2000\\n\",\n \"171/171 [==============================] - 0s 47us/step - loss: 0.2626 - acc: 0.9006\\n\",\n \"Epoch 56/2000\\n\",\n \"171/171 [==============================] - 0s 57us/step - loss: 0.2516 - acc: 0.9006\\n\",\n \"Epoch 57/2000\\n\",\n \"171/171 [==============================] - 0s 55us/step - loss: 0.2429 - acc: 0.9298\\n\",\n \"Epoch 58/2000\\n\",\n \"171/171 [==============================] - 0s 47us/step - loss: 0.2000 - acc: 0.9474\\n\",\n \"Epoch 59/2000\\n\",\n \"171/171 [==============================] - 0s 38us/step - loss: 0.2087 - acc: 0.9240\\n\",\n \"Epoch 60/2000\\n\",\n \"171/171 [==============================] - 0s 45us/step - loss: 0.2604 - acc: 0.9006\\n\",\n \"Epoch 61/2000\\n\",\n \"171/171 [==============================] - 0s 41us/step - loss: 0.2158 - acc: 0.9474\\n\",\n \"Epoch 62/2000\\n\",\n \"171/171 [==============================] - 0s 43us/step - loss: 0.2317 - acc: 0.9123\\n\",\n \"Epoch 63/2000\\n\",\n \"171/171 [==============================] - 0s 46us/step - loss: 0.2108 - acc: 0.9240\\n\",\n \"Epoch 64/2000\\n\",\n \"171/171 [==============================] - 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0s 50us/step - loss: 0.1411 - acc: 0.9649\\n\",\n \"Epoch 83/2000\\n\"\n ]\n },\n {\n \"name\": \"stdout\",\n \"output_type\": \"stream\",\n \"text\": [\n \"171/171 [==============================] - 0s 45us/step - loss: 0.1441 - acc: 0.9591\\n\",\n \"Epoch 84/2000\\n\",\n \"171/171 [==============================] - 0s 43us/step - loss: 0.1269 - acc: 0.9591\\n\",\n \"Epoch 85/2000\\n\",\n \"171/171 [==============================] - 0s 51us/step - loss: 0.1232 - acc: 0.9766\\n\",\n \"Epoch 86/2000\\n\",\n \"171/171 [==============================] - 0s 53us/step - loss: 0.1393 - acc: 0.9649\\n\",\n \"Epoch 87/2000\\n\",\n \"171/171 [==============================] - 0s 40us/step - loss: 0.1428 - acc: 0.9415\\n\",\n \"Epoch 88/2000\\n\",\n \"171/171 [==============================] - 0s 60us/step - loss: 0.1361 - acc: 0.9591\\n\",\n \"Epoch 89/2000\\n\",\n \"171/171 [==============================] - 0s 47us/step - loss: 0.1016 - acc: 0.9766\\n\",\n \"Epoch 90/2000\\n\",\n \"171/171 [==============================] - 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0s 55us/step - loss: 0.0446 - acc: 0.9883\\n\",\n \"Epoch 154/2000\\n\",\n \"171/171 [==============================] - 0s 52us/step - loss: 0.0423 - acc: 0.9883\\n\",\n \"Epoch 155/2000\\n\",\n \"171/171 [==============================] - 0s 56us/step - loss: 0.0476 - acc: 0.9883\\n\",\n \"Epoch 156/2000\\n\",\n \"171/171 [==============================] - 0s 52us/step - loss: 0.0312 - acc: 1.0000\\n\",\n \"Epoch 157/2000\\n\",\n \"171/171 [==============================] - 0s 49us/step - loss: 0.0464 - acc: 0.9825\\n\",\n \"Epoch 158/2000\\n\",\n \"171/171 [==============================] - 0s 59us/step - loss: 0.0311 - acc: 0.9883\\n\",\n \"Epoch 159/2000\\n\",\n \"171/171 [==============================] - 0s 55us/step - loss: 0.0418 - acc: 0.9883\\n\",\n \"Epoch 160/2000\\n\",\n \"171/171 [==============================] - 0s 60us/step - loss: 0.0392 - acc: 0.9883\\n\",\n \"Epoch 161/2000\\n\",\n \"171/171 [==============================] - 0s 64us/step - loss: 0.0269 - acc: 0.9942\\n\",\n \"Epoch 162/2000\\n\",\n \"171/171 [==============================] - 0s 44us/step - loss: 0.0314 - acc: 0.9883\\n\",\n \"Epoch 163/2000\\n\",\n \"171/171 [==============================] - ETA: 0s - loss: 0.0155 - acc: 1.000 - 0s 57us/step - loss: 0.0408 - acc: 0.9883\\n\",\n \"Epoch 164/2000\\n\"\n ]\n },\n {\n \"name\": \"stdout\",\n \"output_type\": \"stream\",\n \"text\": [\n \"171/171 [==============================] - 0s 54us/step - loss: 0.0365 - acc: 0.9883\\n\",\n \"Epoch 165/2000\\n\",\n \"171/171 [==============================] - 0s 51us/step - loss: 0.0265 - acc: 1.0000\\n\",\n \"Epoch 166/2000\\n\",\n \"171/171 [==============================] - 0s 53us/step - loss: 0.0430 - acc: 0.9883\\n\",\n \"Epoch 167/2000\\n\",\n \"171/171 [==============================] - 0s 44us/step - loss: 0.0535 - acc: 0.9766\\n\",\n \"Epoch 168/2000\\n\",\n \"171/171 [==============================] - 0s 50us/step - loss: 0.0433 - acc: 0.9883\\n\",\n \"Epoch 169/2000\\n\",\n \"171/171 [==============================] - 0s 48us/step - loss: 0.0281 - acc: 1.0000\\n\",\n \"Epoch 170/2000\\n\",\n \"171/171 [==============================] - 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0s 51us/step - loss: 0.0142 - acc: 1.0000\\n\",\n \"Epoch 207/2000\\n\",\n \"171/171 [==============================] - 0s 54us/step - loss: 0.0310 - acc: 0.9942\\n\",\n \"Epoch 208/2000\\n\",\n \"171/171 [==============================] - 0s 46us/step - loss: 0.0454 - acc: 0.9883\\n\",\n \"Epoch 209/2000\\n\",\n \"171/171 [==============================] - 0s 53us/step - loss: 0.0151 - acc: 1.0000\\n\",\n \"Epoch 210/2000\\n\",\n \"171/171 [==============================] - 0s 42us/step - loss: 0.0283 - acc: 0.9942\\n\",\n \"Epoch 211/2000\\n\",\n \"171/171 [==============================] - 0s 61us/step - loss: 0.0225 - acc: 0.9883\\n\",\n \"Epoch 212/2000\\n\",\n \"171/171 [==============================] - 0s 46us/step - loss: 0.0174 - acc: 1.0000\\n\",\n \"Epoch 213/2000\\n\",\n \"171/171 [==============================] - 0s 53us/step - loss: 0.0198 - acc: 1.0000\\n\",\n \"Epoch 214/2000\\n\",\n \"171/171 [==============================] - 0s 45us/step - loss: 0.0225 - acc: 0.9942\\n\",\n \"Epoch 215/2000\\n\",\n \"171/171 [==============================] - 0s 46us/step - loss: 0.0199 - acc: 0.9942\\n\",\n \"Epoch 216/2000\\n\",\n \"171/171 [==============================] - 0s 42us/step - loss: 0.0485 - acc: 0.9825\\n\",\n \"Epoch 217/2000\\n\",\n \"171/171 [==============================] - 0s 44us/step - loss: 0.0330 - acc: 0.9883\\n\",\n \"Epoch 218/2000\\n\",\n \"171/171 [==============================] - 0s 46us/step - loss: 0.0161 - acc: 1.0000\\n\",\n \"Epoch 219/2000\\n\",\n \"171/171 [==============================] - 0s 48us/step - loss: 0.0160 - acc: 1.0000\\n\",\n \"Epoch 220/2000\\n\",\n \"171/171 [==============================] - 0s 51us/step - loss: 0.0177 - acc: 1.0000\\n\",\n \"Epoch 221/2000\\n\",\n \"171/171 [==============================] - 0s 45us/step - loss: 0.0116 - acc: 1.0000\\n\",\n \"Epoch 222/2000\\n\",\n \"171/171 [==============================] - 0s 51us/step - loss: 0.0166 - acc: 0.9942\\n\",\n \"Epoch 223/2000\\n\",\n \"171/171 [==============================] - 0s 45us/step - loss: 0.0302 - acc: 0.9883\\n\",\n \"Epoch 224/2000\\n\",\n \"171/171 [==============================] - 0s 65us/step - loss: 0.0181 - acc: 1.0000\\n\",\n \"Epoch 225/2000\\n\",\n \"171/171 [==============================] - 0s 48us/step - loss: 0.0349 - acc: 0.9883\\n\",\n \"Epoch 226/2000\\n\",\n \"171/171 [==============================] - 0s 40us/step - loss: 0.0203 - acc: 1.0000\\n\",\n \"Epoch 227/2000\\n\",\n \"171/171 [==============================] - 0s 42us/step - loss: 0.0411 - acc: 0.9766\\n\",\n \"Epoch 228/2000\\n\",\n \"171/171 [==============================] - 0s 42us/step - loss: 0.0190 - acc: 0.9942\\n\",\n \"Epoch 229/2000\\n\",\n \"171/171 [==============================] - 0s 55us/step - loss: 0.0634 - acc: 0.9766\\n\",\n \"Epoch 230/2000\\n\",\n \"171/171 [==============================] - 0s 50us/step - loss: 0.0313 - acc: 0.9942\\n\",\n \"Epoch 231/2000\\n\",\n \"171/171 [==============================] - 0s 44us/step - loss: 0.0307 - acc: 0.9883\\n\",\n \"Epoch 232/2000\\n\",\n \"171/171 [==============================] - 0s 39us/step - loss: 0.0247 - acc: 0.9942\\n\",\n \"Epoch 233/2000\\n\",\n \"171/171 [==============================] - 0s 40us/step - loss: 0.0297 - acc: 0.9883\\n\",\n \"Epoch 234/2000\\n\",\n \"171/171 [==============================] - 0s 40us/step - loss: 0.0335 - acc: 0.9883\\n\",\n \"Epoch 235/2000\\n\",\n \"171/171 [==============================] - 0s 43us/step - loss: 0.0252 - acc: 0.9942\\n\",\n \"Epoch 236/2000\\n\",\n \"171/171 [==============================] - 0s 52us/step - loss: 0.0252 - acc: 0.9942\\n\",\n \"Epoch 237/2000\\n\",\n \"171/171 [==============================] - 0s 51us/step - loss: 0.0339 - acc: 0.9942\\n\",\n \"Epoch 238/2000\\n\",\n \"171/171 [==============================] - 0s 43us/step - loss: 0.0176 - acc: 0.9942\\n\",\n \"Epoch 239/2000\\n\",\n \"171/171 [==============================] - 0s 42us/step - loss: 0.0153 - acc: 1.0000\\n\",\n \"Epoch 240/2000\\n\",\n \"171/171 [==============================] - 0s 43us/step - loss: 0.0192 - acc: 1.0000\\n\",\n \"Epoch 241/2000\\n\",\n \"171/171 [==============================] - 0s 46us/step - loss: 0.0097 - acc: 1.0000\\n\",\n \"Epoch 242/2000\\n\",\n \"171/171 [==============================] - 0s 51us/step - loss: 0.0130 - acc: 1.0000\\n\",\n \"Epoch 243/2000\\n\",\n \"171/171 [==============================] - 0s 49us/step - loss: 0.0147 - acc: 1.0000\\n\",\n \"Epoch 244/2000\\n\",\n \"171/171 [==============================] - 0s 49us/step - loss: 0.0186 - acc: 1.0000\\n\",\n \"Epoch 245/2000\\n\",\n \"171/171 [==============================] - 0s 45us/step - loss: 0.0376 - acc: 0.9883\\n\",\n \"Epoch 246/2000\\n\"\n ]\n },\n {\n \"name\": \"stdout\",\n \"output_type\": \"stream\",\n \"text\": [\n \"171/171 [==============================] - 0s 47us/step - loss: 0.0234 - acc: 0.9942\\n\",\n \"Epoch 247/2000\\n\",\n \"171/171 [==============================] - 0s 45us/step - loss: 0.0293 - acc: 0.9942\\n\",\n \"Epoch 248/2000\\n\",\n \"171/171 [==============================] - 0s 47us/step - loss: 0.0153 - acc: 0.9942\\n\",\n \"Epoch 249/2000\\n\",\n \"171/171 [==============================] - 0s 39us/step - loss: 0.0572 - acc: 0.9883\\n\",\n \"Epoch 250/2000\\n\",\n \"171/171 [==============================] - 0s 46us/step - loss: 0.0248 - acc: 0.9883\\n\",\n \"Epoch 251/2000\\n\",\n \"171/171 [==============================] - 0s 44us/step - loss: 0.0170 - acc: 0.9942\\n\",\n \"Epoch 252/2000\\n\",\n \"171/171 [==============================] - 0s 56us/step - loss: 0.0146 - acc: 1.0000\\n\",\n \"Epoch 253/2000\\n\",\n \"171/171 [==============================] - 0s 52us/step - loss: 0.0169 - acc: 1.0000\\n\",\n \"Epoch 254/2000\\n\",\n \"171/171 [==============================] - 0s 44us/step - loss: 0.0203 - acc: 0.9942\\n\",\n \"Epoch 255/2000\\n\",\n \"171/171 [==============================] - 0s 50us/step - loss: 0.0109 - acc: 1.0000\\n\",\n \"Epoch 256/2000\\n\",\n \"171/171 [==============================] - 0s 46us/step - loss: 0.0212 - acc: 0.9942\\n\",\n \"Epoch 257/2000\\n\",\n \"171/171 [==============================] - 0s 56us/step - loss: 0.0133 - acc: 1.0000\\n\",\n \"Epoch 258/2000\\n\",\n \"171/171 [==============================] - 0s 46us/step - loss: 0.0138 - acc: 1.0000\\n\",\n \"Epoch 259/2000\\n\",\n \"171/171 [==============================] - 0s 43us/step - loss: 0.0089 - acc: 1.0000\\n\",\n \"Epoch 260/2000\\n\",\n \"171/171 [==============================] - 0s 63us/step - loss: 0.0100 - acc: 1.0000\\n\",\n \"Epoch 261/2000\\n\",\n \"171/171 [==============================] - 0s 52us/step - loss: 0.0097 - acc: 1.0000\\n\",\n \"Epoch 262/2000\\n\",\n \"171/171 [==============================] - 0s 56us/step - loss: 0.0069 - acc: 1.0000\\n\",\n \"Epoch 263/2000\\n\",\n \"171/171 [==============================] - 0s 50us/step - loss: 0.0131 - acc: 0.9942\\n\",\n \"Epoch 264/2000\\n\",\n \"171/171 [==============================] - 0s 54us/step - loss: 0.0102 - acc: 0.9942\\n\",\n \"Epoch 265/2000\\n\",\n \"171/171 [==============================] - 0s 53us/step - loss: 0.0224 - acc: 0.9942\\n\",\n \"Epoch 266/2000\\n\",\n \"171/171 [==============================] - 0s 49us/step - loss: 0.0138 - acc: 0.9942\\n\",\n \"Epoch 267/2000\\n\",\n \"171/171 [==============================] - 0s 63us/step - loss: 0.0130 - acc: 1.0000\\n\",\n \"Epoch 268/2000\\n\",\n \"171/171 [==============================] - 0s 50us/step - loss: 0.0105 - acc: 1.0000\\n\",\n \"Epoch 269/2000\\n\",\n \"171/171 [==============================] - 0s 46us/step - loss: 0.0209 - acc: 0.9942\\n\",\n \"Epoch 270/2000\\n\",\n \"171/171 [==============================] - 0s 53us/step - loss: 0.0229 - acc: 0.9942\\n\",\n \"Epoch 271/2000\\n\",\n \"171/171 [==============================] - 0s 52us/step - loss: 0.0230 - acc: 1.0000\\n\",\n \"Epoch 272/2000\\n\",\n \"171/171 [==============================] - 0s 65us/step - loss: 0.0112 - acc: 1.0000\\n\",\n \"Epoch 273/2000\\n\",\n \"171/171 [==============================] - 0s 44us/step - loss: 0.0445 - acc: 0.9766\\n\",\n \"Epoch 274/2000\\n\",\n \"171/171 [==============================] - 0s 51us/step - loss: 0.0172 - acc: 1.0000\\n\",\n \"Epoch 275/2000\\n\",\n \"171/171 [==============================] - 0s 50us/step - loss: 0.0166 - acc: 0.9942\\n\",\n \"Epoch 276/2000\\n\",\n \"171/171 [==============================] - 0s 54us/step - loss: 0.0375 - acc: 0.9766\\n\",\n \"Epoch 277/2000\\n\",\n \"171/171 [==============================] - 0s 43us/step - loss: 0.0064 - acc: 1.0000\\n\",\n \"Epoch 278/2000\\n\",\n \"171/171 [==============================] - 0s 56us/step - loss: 0.0124 - acc: 1.0000\\n\",\n \"Epoch 279/2000\\n\",\n \"171/171 [==============================] - 0s 54us/step - loss: 0.0209 - acc: 0.9942\\n\",\n \"Epoch 280/2000\\n\",\n \"171/171 [==============================] - 0s 45us/step - loss: 0.0123 - acc: 1.0000\\n\",\n \"Epoch 281/2000\\n\",\n \"171/171 [==============================] - 0s 42us/step - loss: 0.0105 - acc: 1.0000\\n\",\n \"Epoch 282/2000\\n\",\n \"171/171 [==============================] - 0s 42us/step - loss: 0.0161 - acc: 0.9942\\n\",\n \"Epoch 283/2000\\n\",\n \"171/171 [==============================] - 0s 40us/step - loss: 0.0040 - acc: 1.0000\\n\",\n \"Epoch 284/2000\\n\",\n \"171/171 [==============================] - 0s 45us/step - loss: 0.0059 - acc: 1.0000\\n\",\n \"Epoch 285/2000\\n\",\n \"171/171 [==============================] - 0s 41us/step - loss: 0.0055 - acc: 1.0000\\n\",\n \"Epoch 286/2000\\n\",\n \"171/171 [==============================] - 0s 42us/step - loss: 0.0124 - acc: 1.0000\\n\",\n \"Epoch 287/2000\\n\",\n \"171/171 [==============================] - 0s 44us/step - loss: 0.0134 - acc: 0.9942\\n\",\n \"Epoch 288/2000\\n\",\n \"171/171 [==============================] - 0s 42us/step - loss: 0.0084 - acc: 1.0000\\n\",\n \"Epoch 289/2000\\n\",\n \"171/171 [==============================] - 0s 43us/step - loss: 0.0107 - acc: 0.9942\\n\",\n \"Epoch 290/2000\\n\",\n \"171/171 [==============================] - 0s 46us/step - loss: 0.0149 - acc: 1.0000\\n\",\n \"Epoch 291/2000\\n\",\n \"171/171 [==============================] - 0s 50us/step - loss: 0.0068 - acc: 1.0000\\n\",\n \"Epoch 292/2000\\n\",\n \"171/171 [==============================] - 0s 48us/step - loss: 0.0205 - acc: 0.9883\\n\",\n \"Epoch 293/2000\\n\",\n \"171/171 [==============================] - 0s 48us/step - loss: 0.0181 - acc: 0.9942\\n\",\n \"Epoch 294/2000\\n\",\n \"171/171 [==============================] - 0s 54us/step - loss: 0.0114 - acc: 0.9942\\n\",\n \"Epoch 295/2000\\n\",\n \"171/171 [==============================] - 0s 50us/step - loss: 0.0119 - acc: 1.0000\\n\",\n \"Epoch 296/2000\\n\",\n \"171/171 [==============================] - 0s 49us/step - loss: 0.0072 - acc: 1.0000\\n\",\n \"Epoch 297/2000\\n\",\n \"171/171 [==============================] - 0s 49us/step - loss: 0.0178 - acc: 0.9942\\n\",\n \"Epoch 298/2000\\n\",\n \"171/171 [==============================] - 0s 54us/step - loss: 0.0221 - acc: 0.9942\\n\",\n \"Epoch 299/2000\\n\",\n \"171/171 [==============================] - 0s 44us/step - loss: 0.0200 - acc: 0.9942\\n\",\n \"Epoch 300/2000\\n\",\n \"171/171 [==============================] - 0s 43us/step - loss: 0.0527 - acc: 0.9825\\n\",\n \"Epoch 301/2000\\n\",\n \"171/171 [==============================] - 0s 49us/step - loss: 0.0307 - acc: 0.9883\\n\",\n \"Epoch 302/2000\\n\",\n \"171/171 [==============================] - 0s 52us/step - loss: 0.0528 - acc: 0.9825\\n\",\n \"Epoch 303/2000\\n\",\n \"171/171 [==============================] - 0s 48us/step - loss: 0.0274 - acc: 0.9883\\n\",\n \"Epoch 304/2000\\n\",\n \"171/171 [==============================] - 0s 47us/step - loss: 0.0194 - acc: 0.9942\\n\",\n \"Epoch 305/2000\\n\",\n \"171/171 [==============================] - 0s 40us/step - loss: 0.0236 - acc: 0.9942\\n\",\n \"Epoch 306/2000\\n\",\n \"171/171 [==============================] - 0s 43us/step - loss: 0.0187 - acc: 0.9883\\n\",\n \"Epoch 307/2000\\n\",\n \"171/171 [==============================] - 0s 47us/step - loss: 0.0100 - acc: 1.0000\\n\",\n \"Epoch 308/2000\\n\",\n \"171/171 [==============================] - 0s 57us/step - loss: 0.0146 - acc: 0.9942\\n\",\n \"Epoch 309/2000\\n\",\n \"171/171 [==============================] - ETA: 0s - loss: 0.1160 - acc: 0.960 - 0s 42us/step - loss: 0.0337 - acc: 0.9883\\n\",\n \"Epoch 310/2000\\n\",\n \"171/171 [==============================] - 0s 64us/step - loss: 0.0163 - acc: 0.9942\\n\",\n \"Epoch 311/2000\\n\",\n \"171/171 [==============================] - 0s 45us/step - loss: 0.0277 - acc: 0.9825\\n\",\n \"Epoch 312/2000\\n\",\n \"171/171 [==============================] - 0s 44us/step - loss: 0.0138 - acc: 1.0000\\n\",\n \"Epoch 313/2000\\n\",\n \"171/171 [==============================] - 0s 45us/step - loss: 0.0191 - acc: 1.0000\\n\",\n \"Epoch 314/2000\\n\",\n \"171/171 [==============================] - 0s 44us/step - loss: 0.0171 - acc: 0.9942\\n\",\n \"Epoch 315/2000\\n\",\n \"171/171 [==============================] - 0s 49us/step - loss: 0.0048 - acc: 1.0000\\n\",\n \"Epoch 316/2000\\n\",\n \"171/171 [==============================] - 0s 49us/step - loss: 0.0188 - acc: 0.9942\\n\",\n \"Epoch 317/2000\\n\",\n \"171/171 [==============================] - 0s 51us/step - loss: 0.0161 - acc: 0.9942\\n\",\n \"Epoch 318/2000\\n\",\n \"171/171 [==============================] - 0s 44us/step - loss: 0.0116 - acc: 1.0000\\n\",\n \"Epoch 319/2000\\n\",\n \"171/171 [==============================] - 0s 46us/step - loss: 0.0077 - acc: 1.0000\\n\",\n \"Epoch 320/2000\\n\",\n \"171/171 [==============================] - 0s 48us/step - loss: 0.0116 - acc: 0.9942\\n\",\n \"Epoch 321/2000\\n\",\n \"171/171 [==============================] - 0s 45us/step - loss: 0.0307 - acc: 0.9883\\n\",\n \"Epoch 322/2000\\n\",\n \"171/171 [==============================] - 0s 43us/step - loss: 0.0123 - acc: 1.0000\\n\",\n \"Epoch 323/2000\\n\",\n \"171/171 [==============================] - 0s 42us/step - loss: 0.0190 - acc: 0.9942\\n\",\n \"Epoch 324/2000\\n\",\n \"171/171 [==============================] - 0s 50us/step - loss: 0.0117 - acc: 1.0000\\n\",\n \"Epoch 325/2000\\n\",\n \"171/171 [==============================] - 0s 60us/step - loss: 0.0305 - acc: 0.9825\\n\",\n \"Epoch 326/2000\\n\",\n \"171/171 [==============================] - 0s 45us/step - loss: 0.0126 - acc: 0.9942\\n\",\n \"Epoch 327/2000\\n\"\n ]\n },\n {\n \"name\": \"stdout\",\n \"output_type\": \"stream\",\n \"text\": [\n \"171/171 [==============================] - 0s 48us/step - loss: 0.0083 - acc: 1.0000\\n\",\n \"Epoch 328/2000\\n\",\n \"171/171 [==============================] - 0s 51us/step - loss: 0.0240 - acc: 0.9883\\n\",\n \"Epoch 329/2000\\n\",\n \"171/171 [==============================] - 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0s 40us/step - loss: 0.0086 - acc: 1.0000\\n\",\n \"Epoch 339/2000\\n\",\n \"171/171 [==============================] - 0s 54us/step - loss: 0.0107 - acc: 1.0000\\n\",\n \"Epoch 340/2000\\n\",\n \"171/171 [==============================] - 0s 51us/step - loss: 0.0060 - acc: 1.0000\\n\",\n \"Epoch 341/2000\\n\",\n \"171/171 [==============================] - 0s 52us/step - loss: 0.0123 - acc: 1.0000\\n\",\n \"Epoch 342/2000\\n\",\n \"171/171 [==============================] - 0s 61us/step - loss: 0.0103 - acc: 1.0000\\n\",\n \"Epoch 343/2000\\n\",\n \"171/171 [==============================] - 0s 46us/step - loss: 0.0349 - acc: 0.9883\\n\",\n \"Epoch 344/2000\\n\",\n \"171/171 [==============================] - 0s 55us/step - loss: 0.0196 - acc: 0.9942\\n\",\n \"Epoch 345/2000\\n\",\n \"171/171 [==============================] - 0s 54us/step - loss: 0.0180 - acc: 1.0000\\n\",\n \"Epoch 346/2000\\n\",\n \"171/171 [==============================] - 0s 59us/step - loss: 0.0099 - acc: 1.0000\\n\",\n \"Epoch 347/2000\\n\",\n \"171/171 [==============================] - 0s 65us/step - loss: 0.0184 - acc: 0.9942\\n\",\n \"Epoch 348/2000\\n\",\n \"171/171 [==============================] - 0s 56us/step - loss: 0.0157 - acc: 0.9942\\n\",\n \"Epoch 349/2000\\n\",\n \"171/171 [==============================] - 0s 44us/step - loss: 0.0147 - acc: 0.9942\\n\",\n \"Epoch 350/2000\\n\",\n \"171/171 [==============================] - 0s 53us/step - loss: 0.0090 - acc: 1.0000\\n\",\n \"Epoch 351/2000\\n\",\n \"171/171 [==============================] - 0s 50us/step - loss: 0.0086 - acc: 1.0000\\n\",\n \"Epoch 352/2000\\n\",\n \"171/171 [==============================] - 0s 57us/step - loss: 0.0152 - acc: 0.9883\\n\",\n \"Epoch 353/2000\\n\",\n \"171/171 [==============================] - 0s 46us/step - loss: 0.0145 - acc: 1.0000\\n\",\n \"Epoch 354/2000\\n\",\n \"171/171 [==============================] - 0s 49us/step - loss: 0.0284 - acc: 0.9883\\n\",\n \"Epoch 355/2000\\n\",\n \"171/171 [==============================] - 0s 46us/step - loss: 0.0098 - acc: 1.0000\\n\",\n \"Epoch 356/2000\\n\",\n \"171/171 [==============================] - 0s 60us/step - loss: 0.0065 - acc: 1.0000\\n\",\n \"Epoch 357/2000\\n\",\n \"171/171 [==============================] - 0s 55us/step - loss: 0.0082 - acc: 1.0000\\n\",\n \"Epoch 358/2000\\n\",\n \"171/171 [==============================] - 0s 43us/step - loss: 0.0233 - acc: 0.9942\\n\",\n \"Epoch 359/2000\\n\",\n \"171/171 [==============================] - 0s 52us/step - loss: 0.0076 - acc: 1.0000\\n\",\n \"Epoch 360/2000\\n\",\n \"171/171 [==============================] - 0s 43us/step - loss: 0.0404 - acc: 0.9942\\n\",\n \"Epoch 361/2000\\n\",\n \"171/171 [==============================] - 0s 53us/step - loss: 0.0099 - acc: 0.9942\\n\",\n \"Epoch 362/2000\\n\",\n \"171/171 [==============================] - 0s 47us/step - loss: 0.0185 - acc: 0.9942\\n\",\n \"Epoch 363/2000\\n\",\n \"171/171 [==============================] - 0s 49us/step - loss: 0.0085 - acc: 1.0000\\n\",\n \"Epoch 364/2000\\n\",\n \"171/171 [==============================] - 0s 55us/step - loss: 0.0113 - acc: 1.0000\\n\",\n \"Epoch 365/2000\\n\",\n \"171/171 [==============================] - 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0s 45us/step - loss: 0.0054 - acc: 1.0000\\n\",\n \"Epoch 375/2000\\n\",\n \"171/171 [==============================] - 0s 56us/step - loss: 0.0060 - acc: 1.0000\\n\",\n \"Epoch 376/2000\\n\",\n \"171/171 [==============================] - 0s 42us/step - loss: 0.0049 - acc: 1.0000\\n\",\n \"Epoch 377/2000\\n\",\n \"171/171 [==============================] - 0s 54us/step - loss: 0.0044 - acc: 1.0000\\n\",\n \"Epoch 378/2000\\n\",\n \"171/171 [==============================] - 0s 43us/step - loss: 0.0043 - acc: 1.0000\\n\",\n \"Epoch 379/2000\\n\",\n \"171/171 [==============================] - 0s 50us/step - loss: 0.0073 - acc: 1.0000\\n\",\n \"Epoch 380/2000\\n\",\n \"171/171 [==============================] - 0s 45us/step - loss: 0.0077 - acc: 1.0000\\n\",\n \"Epoch 381/2000\\n\",\n \"171/171 [==============================] - 0s 59us/step - loss: 0.0034 - acc: 1.0000\\n\",\n \"Epoch 382/2000\\n\",\n \"171/171 [==============================] - 0s 51us/step - loss: 0.0052 - acc: 1.0000\\n\",\n \"Epoch 383/2000\\n\",\n \"171/171 [==============================] - 0s 50us/step - loss: 0.0080 - acc: 1.0000\\n\",\n \"Epoch 384/2000\\n\",\n \"171/171 [==============================] - 0s 44us/step - loss: 0.0046 - acc: 1.0000\\n\",\n \"Epoch 385/2000\\n\",\n \"171/171 [==============================] - 0s 46us/step - loss: 0.0028 - acc: 1.0000\\n\",\n \"Epoch 386/2000\\n\",\n \"171/171 [==============================] - 0s 49us/step - loss: 0.0015 - acc: 1.0000\\n\",\n \"Epoch 387/2000\\n\",\n \"171/171 [==============================] - 0s 59us/step - loss: 0.0067 - acc: 1.0000\\n\",\n \"Epoch 388/2000\\n\",\n \"171/171 [==============================] - 0s 53us/step - loss: 0.0029 - acc: 1.0000\\n\",\n \"Epoch 389/2000\\n\",\n \"171/171 [==============================] - 0s 55us/step - loss: 0.0073 - acc: 0.9942\\n\",\n \"Epoch 390/2000\\n\",\n \"171/171 [==============================] - 0s 56us/step - loss: 0.0054 - acc: 1.0000\\n\",\n \"Epoch 391/2000\\n\",\n \"171/171 [==============================] - 0s 64us/step - loss: 0.0074 - acc: 1.0000\\n\",\n \"Epoch 392/2000\\n\",\n \"171/171 [==============================] - 0s 52us/step - loss: 0.0015 - acc: 1.0000\\n\",\n \"Epoch 393/2000\\n\",\n \"171/171 [==============================] - 0s 49us/step - loss: 0.0034 - acc: 1.0000\\n\",\n \"Epoch 394/2000\\n\",\n \"171/171 [==============================] - 0s 52us/step - loss: 0.0034 - acc: 1.0000\\n\",\n \"Epoch 395/2000\\n\",\n \"171/171 [==============================] - 0s 51us/step - loss: 0.0110 - acc: 0.9942\\n\",\n \"Epoch 396/2000\\n\",\n \"171/171 [==============================] - 0s 49us/step - loss: 0.0013 - acc: 1.0000\\n\",\n \"Epoch 397/2000\\n\",\n \"171/171 [==============================] - 0s 50us/step - loss: 0.0021 - acc: 1.0000\\n\",\n \"Epoch 398/2000\\n\",\n \"171/171 [==============================] - 0s 54us/step - loss: 0.0035 - acc: 1.0000\\n\",\n \"Epoch 399/2000\\n\",\n \"171/171 [==============================] - 0s 55us/step - loss: 0.0153 - acc: 0.9942\\n\",\n \"Epoch 400/2000\\n\",\n \"171/171 [==============================] - 0s 48us/step - loss: 0.0045 - acc: 1.0000\\n\",\n \"Epoch 401/2000\\n\",\n \"171/171 [==============================] - 0s 54us/step - loss: 0.0086 - acc: 1.0000\\n\",\n \"Epoch 402/2000\\n\",\n \"171/171 [==============================] - 0s 54us/step - loss: 0.0062 - acc: 1.0000\\n\",\n \"Epoch 403/2000\\n\",\n \"171/171 [==============================] - 0s 47us/step - loss: 0.0143 - acc: 0.9942\\n\",\n \"Epoch 404/2000\\n\",\n \"171/171 [==============================] - 0s 48us/step - loss: 0.0180 - acc: 0.9942\\n\",\n \"Epoch 405/2000\\n\",\n \"171/171 [==============================] - 0s 44us/step - loss: 0.0106 - acc: 0.9942\\n\",\n \"Epoch 406/2000\\n\",\n \"171/171 [==============================] - 0s 44us/step - loss: 0.0063 - acc: 1.0000\\n\",\n \"Epoch 407/2000\\n\",\n \"171/171 [==============================] - 0s 47us/step - loss: 0.0183 - acc: 0.9883\\n\",\n \"Epoch 408/2000\\n\",\n \"171/171 [==============================] - 0s 65us/step - loss: 0.0057 - acc: 1.0000\\n\",\n \"Epoch 409/2000\\n\"\n ]\n },\n {\n \"name\": \"stdout\",\n \"output_type\": \"stream\",\n \"text\": [\n \"171/171 [==============================] - 0s 45us/step - loss: 0.0250 - acc: 0.9942\\n\",\n \"Epoch 410/2000\\n\",\n \"171/171 [==============================] - 0s 57us/step - loss: 0.0196 - acc: 0.9883\\n\",\n \"Epoch 411/2000\\n\",\n \"171/171 [==============================] - 0s 48us/step - loss: 0.0031 - acc: 1.0000\\n\",\n \"Epoch 412/2000\\n\",\n \"171/171 [==============================] - 0s 45us/step - loss: 0.0083 - acc: 1.0000\\n\",\n \"Epoch 413/2000\\n\",\n \"171/171 [==============================] - 0s 41us/step - loss: 0.0033 - acc: 1.0000\\n\",\n \"Epoch 414/2000\\n\",\n \"171/171 [==============================] - 0s 45us/step - loss: 0.0045 - acc: 1.0000\\n\",\n \"Epoch 415/2000\\n\",\n \"171/171 [==============================] - 0s 51us/step - loss: 0.0109 - acc: 0.9942\\n\",\n \"Epoch 416/2000\\n\",\n \"171/171 [==============================] - 0s 54us/step - loss: 0.0050 - acc: 1.0000\\n\",\n \"Epoch 417/2000\\n\",\n \"171/171 [==============================] - 0s 49us/step - loss: 0.0055 - acc: 1.0000\\n\",\n \"Epoch 418/2000\\n\",\n \"171/171 [==============================] - 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0s 53us/step - loss: 0.0145 - acc: 1.0000\\n\",\n \"Epoch 455/2000\\n\",\n \"171/171 [==============================] - 0s 46us/step - loss: 0.0104 - acc: 0.9942\\n\",\n \"Epoch 456/2000\\n\",\n \"171/171 [==============================] - 0s 50us/step - loss: 0.0179 - acc: 0.9883\\n\",\n \"Epoch 457/2000\\n\",\n \"171/171 [==============================] - 0s 47us/step - loss: 0.0278 - acc: 0.9942\\n\",\n \"Epoch 458/2000\\n\",\n \"171/171 [==============================] - 0s 56us/step - loss: 0.0116 - acc: 1.0000\\n\",\n \"Epoch 459/2000\\n\",\n \"171/171 [==============================] - 0s 45us/step - loss: 0.0221 - acc: 0.9942\\n\",\n \"Epoch 460/2000\\n\",\n \"171/171 [==============================] - 0s 55us/step - loss: 0.0086 - acc: 1.0000\\n\",\n \"Epoch 461/2000\\n\",\n \"171/171 [==============================] - 0s 43us/step - loss: 0.0056 - acc: 1.0000\\n\",\n \"Epoch 462/2000\\n\",\n \"171/171 [==============================] - 0s 47us/step - loss: 0.0047 - acc: 1.0000\\n\",\n \"Epoch 463/2000\\n\",\n \"171/171 [==============================] - 0s 42us/step - loss: 0.0047 - acc: 1.0000\\n\",\n \"Epoch 464/2000\\n\",\n \"171/171 [==============================] - 0s 47us/step - loss: 0.0183 - acc: 0.9942\\n\",\n \"Epoch 465/2000\\n\",\n \"171/171 [==============================] - 0s 49us/step - loss: 0.0047 - acc: 1.0000\\n\",\n \"Epoch 466/2000\\n\",\n \"171/171 [==============================] - 0s 49us/step - loss: 0.0132 - acc: 0.9942\\n\",\n \"Epoch 467/2000\\n\",\n \"171/171 [==============================] - 0s 45us/step - loss: 0.0228 - acc: 0.9942\\n\",\n \"Epoch 468/2000\\n\",\n \"171/171 [==============================] - 0s 44us/step - loss: 0.0114 - acc: 0.9942\\n\",\n \"Epoch 469/2000\\n\",\n \"171/171 [==============================] - 0s 44us/step - loss: 0.0235 - acc: 0.9883\\n\",\n \"Epoch 470/2000\\n\",\n \"171/171 [==============================] - 0s 55us/step - loss: 0.0069 - acc: 1.0000\\n\",\n \"Epoch 471/2000\\n\",\n \"171/171 [==============================] - 0s 53us/step - loss: 0.0098 - acc: 0.9942\\n\",\n \"Epoch 472/2000\\n\",\n \"171/171 [==============================] - 0s 58us/step - loss: 0.0136 - acc: 0.9942\\n\",\n \"Epoch 473/2000\\n\",\n \"171/171 [==============================] - 0s 44us/step - loss: 0.0242 - acc: 0.9942\\n\",\n \"Epoch 474/2000\\n\",\n \"171/171 [==============================] - 0s 43us/step - loss: 0.0071 - acc: 1.0000\\n\",\n \"Epoch 475/2000\\n\",\n \"171/171 [==============================] - 0s 45us/step - loss: 0.0154 - acc: 0.9942\\n\",\n \"Epoch 476/2000\\n\",\n \"171/171 [==============================] - 0s 44us/step - loss: 0.0056 - acc: 1.0000\\n\",\n \"Epoch 477/2000\\n\",\n \"171/171 [==============================] - 0s 58us/step - loss: 0.0096 - acc: 1.0000\\n\",\n \"Epoch 478/2000\\n\",\n \"171/171 [==============================] - 0s 53us/step - loss: 0.0048 - acc: 1.0000\\n\",\n \"Epoch 479/2000\\n\",\n \"171/171 [==============================] - 0s 51us/step - loss: 0.0163 - acc: 0.9942\\n\",\n \"Epoch 480/2000\\n\",\n \"171/171 [==============================] - 0s 47us/step - loss: 0.0081 - acc: 0.9942\\n\",\n \"Epoch 481/2000\\n\",\n \"171/171 [==============================] - 0s 50us/step - loss: 0.0057 - acc: 1.0000\\n\",\n \"Epoch 482/2000\\n\",\n \"171/171 [==============================] - 0s 45us/step - loss: 0.0037 - acc: 1.0000\\n\",\n \"Epoch 483/2000\\n\",\n \"171/171 [==============================] - 0s 43us/step - loss: 0.0220 - acc: 0.9883\\n\",\n \"Epoch 484/2000\\n\",\n \"171/171 [==============================] - 0s 49us/step - loss: 0.0245 - acc: 0.9942\\n\",\n \"Epoch 485/2000\\n\",\n \"171/171 [==============================] - 0s 45us/step - loss: 0.0161 - acc: 0.9942\\n\",\n \"Epoch 486/2000\\n\",\n \"171/171 [==============================] - 0s 56us/step - loss: 0.0182 - acc: 0.9942\\n\",\n \"Epoch 487/2000\\n\",\n \"171/171 [==============================] - 0s 46us/step - loss: 0.0031 - acc: 1.0000\\n\",\n \"Epoch 488/2000\\n\",\n \"171/171 [==============================] - 0s 51us/step - loss: 0.0152 - acc: 0.9942\\n\",\n \"Epoch 489/2000\\n\",\n \"171/171 [==============================] - 0s 54us/step - loss: 0.0061 - acc: 1.0000\\n\",\n \"Epoch 490/2000\\n\",\n \"171/171 [==============================] - 0s 51us/step - loss: 0.0400 - acc: 0.9883\\n\"\n ]\n },\n {\n \"name\": \"stdout\",\n \"output_type\": \"stream\",\n \"text\": [\n \"Epoch 491/2000\\n\",\n \"171/171 [==============================] - 0s 63us/step - loss: 0.0121 - acc: 0.9942\\n\",\n \"Epoch 492/2000\\n\",\n \"171/171 [==============================] - 0s 43us/step - loss: 0.0031 - acc: 1.0000\\n\",\n \"Epoch 493/2000\\n\",\n \"171/171 [==============================] - 0s 49us/step - loss: 0.0069 - acc: 1.0000\\n\",\n \"Epoch 494/2000\\n\",\n \"171/171 [==============================] - 0s 43us/step - loss: 0.0074 - acc: 1.0000\\n\",\n \"Epoch 495/2000\\n\",\n \"171/171 [==============================] - 0s 47us/step - loss: 0.0150 - acc: 0.9942\\n\",\n \"Epoch 496/2000\\n\",\n \"171/171 [==============================] - 0s 48us/step - loss: 0.0094 - acc: 1.0000\\n\",\n \"Epoch 497/2000\\n\",\n \"171/171 [==============================] - 0s 43us/step - loss: 0.0199 - acc: 0.9883\\n\",\n \"Epoch 498/2000\\n\",\n \"171/171 [==============================] - 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0s 55us/step - loss: 0.0033 - acc: 1.0000\\n\",\n \"Epoch 508/2000\\n\",\n \"171/171 [==============================] - 0s 50us/step - loss: 0.0138 - acc: 0.9942\\n\",\n \"Epoch 509/2000\\n\",\n \"171/171 [==============================] - 0s 51us/step - loss: 0.0058 - acc: 1.0000\\n\",\n \"Epoch 510/2000\\n\",\n \"171/171 [==============================] - 0s 48us/step - loss: 0.0153 - acc: 0.9883\\n\",\n \"Epoch 511/2000\\n\",\n \"171/171 [==============================] - 0s 56us/step - loss: 0.0054 - acc: 1.0000\\n\",\n \"Epoch 512/2000\\n\",\n \"171/171 [==============================] - 0s 51us/step - loss: 0.0110 - acc: 0.9942\\n\",\n \"Epoch 513/2000\\n\",\n \"171/171 [==============================] - 0s 50us/step - loss: 0.0150 - acc: 0.9942\\n\",\n \"Epoch 514/2000\\n\",\n \"171/171 [==============================] - 0s 54us/step - loss: 0.0077 - acc: 0.9942\\n\",\n \"Epoch 515/2000\\n\",\n \"171/171 [==============================] - 0s 47us/step - loss: 0.0020 - acc: 1.0000\\n\",\n \"Epoch 516/2000\\n\",\n \"171/171 [==============================] - 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0s 55us/step - loss: 0.0239 - acc: 0.9942\\n\",\n \"Epoch 562/2000\\n\",\n \"171/171 [==============================] - 0s 49us/step - loss: 0.0155 - acc: 0.9883\\n\",\n \"Epoch 563/2000\\n\",\n \"171/171 [==============================] - 0s 51us/step - loss: 0.0497 - acc: 0.9883\\n\",\n \"Epoch 564/2000\\n\",\n \"171/171 [==============================] - 0s 57us/step - loss: 0.0094 - acc: 1.0000\\n\",\n \"Epoch 565/2000\\n\",\n \"171/171 [==============================] - 0s 61us/step - loss: 0.0285 - acc: 0.9883\\n\",\n \"Epoch 566/2000\\n\",\n \"171/171 [==============================] - 0s 55us/step - loss: 0.0107 - acc: 0.9942\\n\",\n \"Epoch 567/2000\\n\",\n \"171/171 [==============================] - 0s 54us/step - loss: 0.0617 - acc: 0.9649\\n\",\n \"Epoch 568/2000\\n\",\n \"171/171 [==============================] - 0s 50us/step - loss: 0.0272 - acc: 0.9883\\n\",\n \"Epoch 569/2000\\n\",\n \"171/171 [==============================] - 0s 50us/step - loss: 0.0370 - acc: 0.9825\\n\",\n \"Epoch 570/2000\\n\",\n \"171/171 [==============================] - 0s 50us/step - loss: 0.0505 - acc: 0.9883\\n\",\n \"Epoch 571/2000\\n\",\n \"171/171 [==============================] - 0s 52us/step - loss: 0.0148 - acc: 0.9942\\n\",\n \"Epoch 572/2000\\n\"\n ]\n },\n {\n \"name\": \"stdout\",\n \"output_type\": \"stream\",\n \"text\": [\n \"171/171 [==============================] - 0s 48us/step - loss: 0.0089 - acc: 1.0000\\n\",\n \"Epoch 573/2000\\n\",\n \"171/171 [==============================] - 0s 51us/step - loss: 0.0123 - acc: 0.9942\\n\",\n \"Epoch 574/2000\\n\",\n \"171/171 [==============================] - 0s 53us/step - loss: 0.0142 - acc: 0.9942\\n\",\n \"Epoch 575/2000\\n\",\n \"171/171 [==============================] - 0s 52us/step - loss: 0.0043 - acc: 1.0000\\n\",\n \"Epoch 576/2000\\n\",\n \"171/171 [==============================] - 0s 51us/step - loss: 0.0059 - acc: 1.0000\\n\",\n \"Epoch 577/2000\\n\",\n \"171/171 [==============================] - 0s 46us/step - loss: 0.0069 - acc: 1.0000\\n\",\n \"Epoch 578/2000\\n\",\n \"171/171 [==============================] - 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0s 42us/step - loss: 0.0014 - acc: 1.0000\\n\",\n \"Epoch 651/2000\\n\",\n \"171/171 [==============================] - 0s 42us/step - loss: 0.0058 - acc: 1.0000\\n\",\n \"Epoch 652/2000\\n\",\n \"171/171 [==============================] - 0s 42us/step - loss: 0.0015 - acc: 1.0000\\n\",\n \"Epoch 653/2000\\n\",\n \"171/171 [==============================] - 0s 45us/step - loss: 0.0042 - acc: 1.0000\\n\",\n \"Epoch 654/2000\\n\"\n ]\n },\n {\n \"name\": \"stdout\",\n \"output_type\": \"stream\",\n \"text\": [\n \"171/171 [==============================] - 0s 45us/step - loss: 0.0026 - acc: 1.0000\\n\",\n \"Epoch 655/2000\\n\",\n \"171/171 [==============================] - 0s 50us/step - loss: 0.0014 - acc: 1.0000\\n\",\n \"Epoch 656/2000\\n\",\n \"171/171 [==============================] - 0s 49us/step - loss: 0.0015 - acc: 1.0000\\n\",\n \"Epoch 657/2000\\n\",\n \"171/171 [==============================] - 0s 43us/step - loss: 0.0084 - acc: 0.9942\\n\",\n \"Epoch 658/2000\\n\",\n \"171/171 [==============================] - 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acc: 1.0000\\n\",\n \"Epoch 712/2000\\n\",\n \"171/171 [==============================] - 0s 49us/step - loss: 2.0518e-04 - acc: 1.0000\\n\",\n \"Epoch 713/2000\\n\",\n \"171/171 [==============================] - 0s 47us/step - loss: 9.9439e-04 - acc: 1.0000\\n\",\n \"Epoch 714/2000\\n\",\n \"171/171 [==============================] - 0s 56us/step - loss: 0.0039 - acc: 1.0000\\n\",\n \"Epoch 715/2000\\n\",\n \"171/171 [==============================] - 0s 51us/step - loss: 0.0019 - acc: 1.0000\\n\",\n \"Epoch 716/2000\\n\",\n \"171/171 [==============================] - 0s 44us/step - loss: 0.0012 - acc: 1.0000\\n\",\n \"Epoch 717/2000\\n\",\n \"171/171 [==============================] - 0s 43us/step - loss: 0.0019 - acc: 1.0000\\n\",\n \"Epoch 718/2000\\n\",\n \"171/171 [==============================] - 0s 46us/step - loss: 0.0015 - acc: 1.0000\\n\",\n \"Epoch 719/2000\\n\",\n \"171/171 [==============================] - 0s 49us/step - loss: 0.0115 - acc: 0.9942\\n\",\n \"Epoch 720/2000\\n\",\n \"171/171 [==============================] - 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0s 44us/step - loss: 0.0362 - acc: 0.9942\\n\",\n \"Epoch 889/2000\\n\",\n \"171/171 [==============================] - 0s 44us/step - loss: 0.0169 - acc: 0.9942\\n\",\n \"Epoch 890/2000\\n\",\n \"171/171 [==============================] - 0s 55us/step - loss: 0.0074 - acc: 1.0000\\n\",\n \"Epoch 891/2000\\n\",\n \"171/171 [==============================] - 0s 50us/step - loss: 0.0176 - acc: 0.9942\\n\",\n \"Epoch 892/2000\\n\",\n \"171/171 [==============================] - 0s 46us/step - loss: 0.0176 - acc: 0.9942\\n\",\n \"Epoch 893/2000\\n\",\n \"171/171 [==============================] - 0s 47us/step - loss: 0.0269 - acc: 0.9942\\n\",\n \"Epoch 894/2000\\n\",\n \"171/171 [==============================] - 0s 56us/step - loss: 0.0104 - acc: 1.0000\\n\",\n \"Epoch 895/2000\\n\",\n \"171/171 [==============================] - 0s 51us/step - loss: 0.0481 - acc: 0.9825\\n\",\n \"Epoch 896/2000\\n\",\n \"171/171 [==============================] - 0s 48us/step - loss: 0.0050 - acc: 1.0000\\n\",\n \"Epoch 897/2000\\n\",\n \"171/171 [==============================] - 0s 57us/step - loss: 0.0064 - acc: 1.0000\\n\",\n \"Epoch 898/2000\\n\"\n ]\n },\n {\n \"name\": \"stdout\",\n \"output_type\": \"stream\",\n \"text\": [\n \"171/171 [==============================] - 0s 49us/step - loss: 0.0074 - acc: 1.0000\\n\",\n \"Epoch 899/2000\\n\",\n \"171/171 [==============================] - 0s 58us/step - loss: 0.0076 - acc: 1.0000\\n\",\n \"Epoch 900/2000\\n\",\n \"171/171 [==============================] - 0s 53us/step - loss: 0.0041 - acc: 1.0000\\n\",\n \"Epoch 901/2000\\n\",\n \"171/171 [==============================] - 0s 49us/step - loss: 0.0068 - acc: 1.0000\\n\",\n \"Epoch 902/2000\\n\",\n \"171/171 [==============================] - 0s 51us/step - loss: 0.0111 - acc: 1.0000\\n\",\n \"Epoch 903/2000\\n\",\n \"171/171 [==============================] - 0s 55us/step - loss: 5.8147e-04 - acc: 1.0000\\n\",\n \"Epoch 904/2000\\n\",\n \"171/171 [==============================] - 0s 53us/step - loss: 0.0172 - acc: 0.9942\\n\",\n \"Epoch 905/2000\\n\",\n \"171/171 [==============================] - 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0s 66us/step - loss: 0.0070 - acc: 0.9942\\n\",\n \"Epoch 969/2000\\n\",\n \"171/171 [==============================] - 0s 51us/step - loss: 0.0026 - acc: 1.0000\\n\",\n \"Epoch 970/2000\\n\",\n \"171/171 [==============================] - 0s 58us/step - loss: 0.0040 - acc: 1.0000\\n\",\n \"Epoch 971/2000\\n\",\n \"171/171 [==============================] - 0s 48us/step - loss: 0.0018 - acc: 1.0000\\n\",\n \"Epoch 972/2000\\n\",\n \"171/171 [==============================] - 0s 56us/step - loss: 0.0012 - acc: 1.0000\\n\",\n \"Epoch 973/2000\\n\",\n \"171/171 [==============================] - 0s 54us/step - loss: 0.0015 - acc: 1.0000\\n\",\n \"Epoch 974/2000\\n\",\n \"171/171 [==============================] - 0s 56us/step - loss: 0.0011 - acc: 1.0000\\n\",\n \"Epoch 975/2000\\n\",\n \"171/171 [==============================] - 0s 78us/step - loss: 7.3859e-04 - acc: 1.0000\\n\",\n \"Epoch 976/2000\\n\",\n \"171/171 [==============================] - 0s 58us/step - loss: 0.0028 - acc: 1.0000\\n\",\n \"Epoch 977/2000\\n\",\n \"171/171 [==============================] - 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acc: 1.0000\\n\",\n \"Epoch 1126/2000\\n\",\n \"171/171 [==============================] - 0s 46us/step - loss: 6.4997e-04 - acc: 1.0000\\n\",\n \"Epoch 1127/2000\\n\",\n \"171/171 [==============================] - 0s 47us/step - loss: 0.0048 - acc: 1.0000\\n\",\n \"Epoch 1128/2000\\n\",\n \"171/171 [==============================] - 0s 56us/step - loss: 6.6027e-04 - acc: 1.0000\\n\",\n \"Epoch 1129/2000\\n\",\n \"171/171 [==============================] - 0s 49us/step - loss: 0.0013 - acc: 1.0000\\n\",\n \"Epoch 1130/2000\\n\",\n \"171/171 [==============================] - 0s 49us/step - loss: 4.5153e-04 - acc: 1.0000\\n\",\n \"Epoch 1131/2000\\n\",\n \"171/171 [==============================] - 0s 46us/step - loss: 0.0025 - acc: 1.0000\\n\",\n \"Epoch 1132/2000\\n\",\n \"171/171 [==============================] - 0s 47us/step - loss: 0.0046 - acc: 1.0000\\n\",\n \"Epoch 1133/2000\\n\",\n \"171/171 [==============================] - 0s 47us/step - loss: 0.0019 - acc: 1.0000\\n\",\n \"Epoch 1134/2000\\n\",\n \"171/171 [==============================] - 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acc: 1.0000\\n\",\n \"Epoch 1194/2000\\n\",\n \"171/171 [==============================] - 0s 44us/step - loss: 0.0223 - acc: 0.9942\\n\",\n \"Epoch 1195/2000\\n\",\n \"171/171 [==============================] - 0s 43us/step - loss: 0.0133 - acc: 0.9942\\n\",\n \"Epoch 1196/2000\\n\",\n \"171/171 [==============================] - 0s 44us/step - loss: 0.0170 - acc: 0.9883\\n\",\n \"Epoch 1197/2000\\n\",\n \"171/171 [==============================] - 0s 45us/step - loss: 0.0322 - acc: 0.9942\\n\",\n \"Epoch 1198/2000\\n\",\n \"171/171 [==============================] - 0s 44us/step - loss: 0.0242 - acc: 0.9883\\n\",\n \"Epoch 1199/2000\\n\",\n \"171/171 [==============================] - 0s 47us/step - loss: 0.0371 - acc: 0.9825\\n\",\n \"Epoch 1200/2000\\n\",\n \"171/171 [==============================] - 0s 52us/step - loss: 0.0439 - acc: 0.9825\\n\",\n \"Epoch 1201/2000\\n\",\n \"171/171 [==============================] - 0s 56us/step - loss: 0.0283 - acc: 0.9883\\n\",\n \"Epoch 1202/2000\\n\",\n \"171/171 [==============================] - 0s 46us/step - loss: 0.0867 - acc: 0.9766\\n\",\n \"Epoch 1203/2000\\n\",\n \"171/171 [==============================] - 0s 55us/step - loss: 0.0373 - acc: 0.9942\\n\",\n \"Epoch 1204/2000\\n\",\n \"171/171 [==============================] - 0s 53us/step - loss: 0.0084 - acc: 1.0000\\n\",\n \"Epoch 1205/2000\\n\",\n \"171/171 [==============================] - 0s 45us/step - loss: 0.0074 - acc: 1.0000\\n\",\n \"Epoch 1206/2000\\n\",\n \"171/171 [==============================] - 0s 49us/step - loss: 0.0074 - acc: 1.0000\\n\",\n \"Epoch 1207/2000\\n\",\n \"171/171 [==============================] - 0s 48us/step - loss: 0.0037 - acc: 1.0000\\n\",\n \"Epoch 1208/2000\\n\",\n \"171/171 [==============================] - 0s 49us/step - loss: 0.0105 - acc: 0.9942\\n\",\n \"Epoch 1209/2000\\n\",\n \"171/171 [==============================] - 0s 44us/step - loss: 0.0045 - acc: 1.0000\\n\",\n \"Epoch 1210/2000\\n\",\n \"171/171 [==============================] - 0s 45us/step - loss: 0.0031 - acc: 1.0000\\n\",\n \"Epoch 1211/2000\\n\",\n \"171/171 [==============================] - 0s 44us/step - loss: 0.0017 - acc: 1.0000\\n\",\n \"Epoch 1212/2000\\n\",\n \"171/171 [==============================] - 0s 44us/step - loss: 0.0027 - acc: 1.0000\\n\",\n \"Epoch 1213/2000\\n\",\n \"171/171 [==============================] - 0s 44us/step - loss: 0.0019 - acc: 1.0000\\n\",\n \"Epoch 1214/2000\\n\",\n \"171/171 [==============================] - 0s 48us/step - loss: 0.0016 - acc: 1.0000\\n\",\n \"Epoch 1215/2000\\n\",\n \"171/171 [==============================] - 0s 49us/step - loss: 0.0113 - acc: 0.9942\\n\",\n \"Epoch 1216/2000\\n\",\n \"171/171 [==============================] - 0s 54us/step - loss: 0.0036 - acc: 1.0000\\n\",\n \"Epoch 1217/2000\\n\",\n \"171/171 [==============================] - 0s 48us/step - loss: 0.0021 - acc: 1.0000\\n\",\n \"Epoch 1218/2000\\n\",\n \"171/171 [==============================] - 0s 48us/step - loss: 0.0036 - acc: 1.0000\\n\",\n \"Epoch 1219/2000\\n\",\n \"171/171 [==============================] - 0s 39us/step - loss: 0.0242 - acc: 0.9942\\n\",\n \"Epoch 1220/2000\\n\"\n ]\n },\n {\n \"name\": \"stdout\",\n \"output_type\": \"stream\",\n \"text\": [\n \"171/171 [==============================] - 0s 56us/step - loss: 0.0082 - acc: 1.0000\\n\",\n \"Epoch 1221/2000\\n\",\n \"171/171 [==============================] - 0s 53us/step - loss: 0.0188 - acc: 0.9942\\n\",\n \"Epoch 1222/2000\\n\",\n \"171/171 [==============================] - 0s 46us/step - loss: 0.0048 - acc: 1.0000\\n\",\n \"Epoch 1223/2000\\n\",\n \"171/171 [==============================] - 0s 58us/step - loss: 0.0078 - acc: 0.9942\\n\",\n \"Epoch 1224/2000\\n\",\n \"171/171 [==============================] - 0s 46us/step - loss: 0.0305 - acc: 0.9942\\n\",\n \"Epoch 1225/2000\\n\",\n \"171/171 [==============================] - 0s 54us/step - loss: 0.0047 - acc: 1.0000\\n\",\n \"Epoch 1226/2000\\n\",\n \"171/171 [==============================] - 0s 57us/step - loss: 0.0046 - acc: 1.0000\\n\",\n \"Epoch 1227/2000\\n\",\n \"171/171 [==============================] - 0s 61us/step - loss: 0.0058 - acc: 1.0000\\n\",\n \"Epoch 1228/2000\\n\",\n \"171/171 [==============================] - 0s 60us/step - loss: 0.0054 - acc: 0.9942\\n\",\n \"Epoch 1229/2000\\n\",\n \"171/171 [==============================] - 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acc: 1.0000\\n\",\n \"Epoch 1238/2000\\n\",\n \"171/171 [==============================] - 0s 41us/step - loss: 0.0025 - acc: 1.0000\\n\",\n \"Epoch 1239/2000\\n\",\n \"171/171 [==============================] - 0s 45us/step - loss: 0.0057 - acc: 1.0000\\n\",\n \"Epoch 1240/2000\\n\",\n \"171/171 [==============================] - 0s 40us/step - loss: 0.0019 - acc: 1.0000\\n\",\n \"Epoch 1241/2000\\n\",\n \"171/171 [==============================] - 0s 43us/step - loss: 0.0125 - acc: 0.9942\\n\",\n \"Epoch 1242/2000\\n\",\n \"171/171 [==============================] - 0s 45us/step - loss: 0.0100 - acc: 0.9942\\n\",\n \"Epoch 1243/2000\\n\",\n \"171/171 [==============================] - 0s 41us/step - loss: 0.0031 - acc: 1.0000\\n\",\n \"Epoch 1244/2000\\n\",\n \"171/171 [==============================] - 0s 47us/step - loss: 0.0012 - acc: 1.0000\\n\",\n \"Epoch 1245/2000\\n\",\n \"171/171 [==============================] - 0s 52us/step - loss: 0.0182 - acc: 0.9883\\n\",\n \"Epoch 1246/2000\\n\",\n \"171/171 [==============================] - 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acc: 1.0000\\n\",\n \"Epoch 1255/2000\\n\",\n \"171/171 [==============================] - 0s 52us/step - loss: 7.5643e-04 - acc: 1.0000\\n\",\n \"Epoch 1256/2000\\n\",\n \"171/171 [==============================] - 0s 46us/step - loss: 0.0021 - acc: 1.0000\\n\",\n \"Epoch 1257/2000\\n\",\n \"171/171 [==============================] - 0s 55us/step - loss: 9.0266e-04 - acc: 1.0000\\n\",\n \"Epoch 1258/2000\\n\",\n \"171/171 [==============================] - 0s 42us/step - loss: 6.3892e-04 - acc: 1.0000\\n\",\n \"Epoch 1259/2000\\n\",\n \"171/171 [==============================] - 0s 45us/step - loss: 2.7471e-04 - acc: 1.0000\\n\",\n \"Epoch 1260/2000\\n\",\n \"171/171 [==============================] - 0s 54us/step - loss: 2.6295e-04 - acc: 1.0000\\n\",\n \"Epoch 1261/2000\\n\",\n \"171/171 [==============================] - 0s 48us/step - loss: 5.3034e-04 - acc: 1.0000\\n\",\n \"Epoch 1262/2000\\n\",\n \"171/171 [==============================] - 0s 45us/step - loss: 0.0028 - acc: 1.0000\\n\",\n \"Epoch 1263/2000\\n\",\n \"171/171 [==============================] - 0s 51us/step - loss: 0.0017 - acc: 1.0000\\n\",\n \"Epoch 1264/2000\\n\",\n \"171/171 [==============================] - 0s 43us/step - loss: 8.1638e-04 - acc: 1.0000\\n\",\n \"Epoch 1265/2000\\n\",\n \"171/171 [==============================] - 0s 50us/step - loss: 0.0024 - acc: 1.0000\\n\",\n \"Epoch 1266/2000\\n\",\n \"171/171 [==============================] - 0s 58us/step - loss: 3.5033e-04 - acc: 1.0000\\n\",\n \"Epoch 1267/2000\\n\",\n \"171/171 [==============================] - 0s 41us/step - loss: 0.0019 - acc: 1.0000\\n\",\n \"Epoch 1268/2000\\n\",\n \"171/171 [==============================] - 0s 46us/step - loss: 2.8673e-04 - acc: 1.0000\\n\",\n \"Epoch 1269/2000\\n\",\n \"171/171 [==============================] - 0s 51us/step - loss: 0.0015 - acc: 1.0000\\n\",\n \"Epoch 1270/2000\\n\",\n \"171/171 [==============================] - 0s 50us/step - loss: 0.0036 - acc: 1.0000\\n\",\n \"Epoch 1271/2000\\n\",\n \"171/171 [==============================] - 0s 49us/step - loss: 0.0065 - acc: 1.0000\\n\",\n \"Epoch 1272/2000\\n\",\n \"171/171 [==============================] - 0s 55us/step - loss: 9.4567e-04 - acc: 1.0000\\n\",\n \"Epoch 1273/2000\\n\",\n \"171/171 [==============================] - 0s 57us/step - loss: 5.6933e-04 - acc: 1.0000\\n\",\n \"Epoch 1274/2000\\n\",\n \"171/171 [==============================] - 0s 46us/step - loss: 0.0305 - acc: 0.9883\\n\",\n \"Epoch 1275/2000\\n\",\n \"171/171 [==============================] - 0s 44us/step - loss: 0.0023 - acc: 1.0000\\n\",\n \"Epoch 1276/2000\\n\",\n \"171/171 [==============================] - 0s 42us/step - loss: 0.0070 - acc: 1.0000\\n\",\n \"Epoch 1277/2000\\n\",\n \"171/171 [==============================] - 0s 42us/step - loss: 0.0018 - acc: 1.0000\\n\",\n \"Epoch 1278/2000\\n\",\n \"171/171 [==============================] - 0s 48us/step - loss: 0.0019 - acc: 1.0000\\n\",\n \"Epoch 1279/2000\\n\",\n \"171/171 [==============================] - 0s 48us/step - loss: 0.0176 - acc: 0.9942\\n\",\n \"Epoch 1280/2000\\n\",\n \"171/171 [==============================] - 0s 56us/step - loss: 0.0043 - acc: 1.0000\\n\",\n \"Epoch 1281/2000\\n\",\n \"171/171 [==============================] - 0s 57us/step - loss: 0.0131 - acc: 0.9883\\n\",\n \"Epoch 1282/2000\\n\",\n \"171/171 [==============================] - 0s 46us/step - loss: 4.1269e-04 - acc: 1.0000\\n\",\n \"Epoch 1283/2000\\n\",\n \"171/171 [==============================] - 0s 43us/step - loss: 0.0016 - acc: 1.0000\\n\",\n \"Epoch 1284/2000\\n\",\n \"171/171 [==============================] - 0s 48us/step - loss: 0.0029 - acc: 1.0000\\n\",\n \"Epoch 1285/2000\\n\",\n \"171/171 [==============================] - 0s 49us/step - loss: 7.3447e-04 - acc: 1.0000\\n\",\n \"Epoch 1286/2000\\n\",\n \"171/171 [==============================] - 0s 42us/step - loss: 8.5903e-04 - acc: 1.0000\\n\",\n \"Epoch 1287/2000\\n\",\n \"171/171 [==============================] - 0s 44us/step - loss: 0.0040 - acc: 1.0000\\n\",\n \"Epoch 1288/2000\\n\",\n \"171/171 [==============================] - 0s 45us/step - loss: 0.0024 - acc: 1.0000\\n\",\n \"Epoch 1289/2000\\n\",\n \"171/171 [==============================] - 0s 42us/step - loss: 4.0103e-04 - acc: 1.0000\\n\",\n \"Epoch 1290/2000\\n\",\n \"171/171 [==============================] - 0s 42us/step - loss: 2.2283e-04 - acc: 1.0000\\n\",\n \"Epoch 1291/2000\\n\",\n \"171/171 [==============================] - 0s 45us/step - loss: 0.0035 - acc: 1.0000\\n\",\n \"Epoch 1292/2000\\n\",\n \"171/171 [==============================] - 0s 52us/step - loss: 0.0054 - acc: 1.0000\\n\",\n \"Epoch 1293/2000\\n\",\n \"171/171 [==============================] - 0s 56us/step - loss: 0.0039 - acc: 1.0000\\n\",\n \"Epoch 1294/2000\\n\",\n \"171/171 [==============================] - 0s 41us/step - loss: 0.0024 - acc: 1.0000\\n\",\n \"Epoch 1295/2000\\n\",\n \"171/171 [==============================] - 0s 45us/step - loss: 8.3696e-04 - acc: 1.0000\\n\",\n \"Epoch 1296/2000\\n\",\n \"171/171 [==============================] - 0s 46us/step - loss: 0.0020 - acc: 1.0000\\n\",\n \"Epoch 1297/2000\\n\",\n \"171/171 [==============================] - 0s 45us/step - loss: 0.0255 - acc: 0.9942\\n\",\n \"Epoch 1298/2000\\n\",\n \"171/171 [==============================] - 0s 41us/step - loss: 0.0045 - acc: 1.0000\\n\",\n \"Epoch 1299/2000\\n\",\n \"171/171 [==============================] - 0s 43us/step - loss: 0.0090 - acc: 1.0000\\n\",\n \"Epoch 1300/2000\\n\"\n ]\n },\n {\n \"name\": \"stdout\",\n \"output_type\": \"stream\",\n \"text\": [\n \"171/171 [==============================] - 0s 41us/step - loss: 0.0020 - acc: 1.0000\\n\",\n \"Epoch 1301/2000\\n\",\n \"171/171 [==============================] - 0s 50us/step - loss: 0.0010 - acc: 1.0000\\n\",\n \"Epoch 1302/2000\\n\",\n \"171/171 [==============================] - 0s 43us/step - loss: 0.0038 - acc: 1.0000\\n\",\n \"Epoch 1303/2000\\n\",\n \"171/171 [==============================] - 0s 50us/step - loss: 0.0185 - acc: 0.9942\\n\",\n \"Epoch 1304/2000\\n\",\n \"171/171 [==============================] - 0s 48us/step - loss: 4.6773e-04 - acc: 1.0000\\n\",\n \"Epoch 1305/2000\\n\",\n \"171/171 [==============================] - 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acc: 1.0000\\n\",\n \"Epoch 1314/2000\\n\",\n \"171/171 [==============================] - 0s 48us/step - loss: 0.0105 - acc: 1.0000\\n\",\n \"Epoch 1315/2000\\n\",\n \"171/171 [==============================] - 0s 50us/step - loss: 0.0024 - acc: 1.0000\\n\",\n \"Epoch 1316/2000\\n\",\n \"171/171 [==============================] - 0s 42us/step - loss: 0.0024 - acc: 1.0000\\n\",\n \"Epoch 1317/2000\\n\",\n \"171/171 [==============================] - 0s 43us/step - loss: 0.0019 - acc: 1.0000\\n\",\n \"Epoch 1318/2000\\n\",\n \"171/171 [==============================] - 0s 42us/step - loss: 0.0096 - acc: 0.9942\\n\",\n \"Epoch 1319/2000\\n\",\n \"171/171 [==============================] - 0s 46us/step - loss: 0.0062 - acc: 1.0000\\n\",\n \"Epoch 1320/2000\\n\",\n \"171/171 [==============================] - 0s 45us/step - loss: 0.0013 - acc: 1.0000\\n\",\n \"Epoch 1321/2000\\n\",\n \"171/171 [==============================] - 0s 50us/step - loss: 0.0026 - acc: 1.0000\\n\",\n \"Epoch 1322/2000\\n\",\n \"171/171 [==============================] - 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acc: 1.0000\\n\",\n \"Epoch 1427/2000\\n\",\n \"171/171 [==============================] - 0s 41us/step - loss: 8.1309e-04 - acc: 1.0000\\n\",\n \"Epoch 1428/2000\\n\",\n \"171/171 [==============================] - 0s 47us/step - loss: 0.0089 - acc: 0.9942\\n\",\n \"Epoch 1429/2000\\n\",\n \"171/171 [==============================] - 0s 49us/step - loss: 0.0178 - acc: 0.9942\\n\",\n \"Epoch 1430/2000\\n\",\n \"171/171 [==============================] - 0s 44us/step - loss: 0.0092 - acc: 0.9942\\n\",\n \"Epoch 1431/2000\\n\",\n \"171/171 [==============================] - 0s 43us/step - loss: 0.0017 - acc: 1.0000\\n\",\n \"Epoch 1432/2000\\n\",\n \"171/171 [==============================] - 0s 41us/step - loss: 0.0011 - acc: 1.0000\\n\",\n \"Epoch 1433/2000\\n\",\n \"171/171 [==============================] - 0s 46us/step - loss: 0.0124 - acc: 0.9942\\n\",\n \"Epoch 1434/2000\\n\",\n \"171/171 [==============================] - 0s 49us/step - loss: 0.0013 - acc: 1.0000\\n\",\n \"Epoch 1435/2000\\n\",\n \"171/171 [==============================] - 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0s 54us/step - loss: 0.0045 - acc: 1.0000\\n\",\n \"Epoch 1454/2000\\n\",\n \"171/171 [==============================] - 0s 49us/step - loss: 0.0020 - acc: 1.0000\\n\",\n \"Epoch 1455/2000\\n\",\n \"171/171 [==============================] - 0s 48us/step - loss: 0.0021 - acc: 1.0000\\n\",\n \"Epoch 1456/2000\\n\",\n \"171/171 [==============================] - 0s 45us/step - loss: 0.0065 - acc: 1.0000\\n\",\n \"Epoch 1457/2000\\n\",\n \"171/171 [==============================] - 0s 42us/step - loss: 0.0107 - acc: 0.9942\\n\",\n \"Epoch 1458/2000\\n\",\n \"171/171 [==============================] - 0s 43us/step - loss: 0.0140 - acc: 0.9942\\n\",\n \"Epoch 1459/2000\\n\",\n \"171/171 [==============================] - 0s 46us/step - loss: 0.0065 - acc: 1.0000\\n\",\n \"Epoch 1460/2000\\n\",\n \"171/171 [==============================] - 0s 48us/step - loss: 0.0070 - acc: 1.0000\\n\",\n \"Epoch 1461/2000\\n\"\n ]\n },\n {\n \"name\": \"stdout\",\n \"output_type\": \"stream\",\n \"text\": [\n \"171/171 [==============================] - 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acc: 1.0000\\n\",\n \"Epoch 1512/2000\\n\",\n \"171/171 [==============================] - 0s 44us/step - loss: 0.0012 - acc: 1.0000\\n\",\n \"Epoch 1513/2000\\n\",\n \"171/171 [==============================] - 0s 45us/step - loss: 0.0031 - acc: 1.0000\\n\",\n \"Epoch 1514/2000\\n\",\n \"171/171 [==============================] - 0s 56us/step - loss: 3.4263e-04 - acc: 1.0000\\n\",\n \"Epoch 1515/2000\\n\",\n \"171/171 [==============================] - 0s 40us/step - loss: 0.0134 - acc: 0.9942\\n\",\n \"Epoch 1516/2000\\n\",\n \"171/171 [==============================] - 0s 45us/step - loss: 0.0027 - acc: 1.0000\\n\",\n \"Epoch 1517/2000\\n\",\n \"171/171 [==============================] - 0s 52us/step - loss: 0.0017 - acc: 1.0000\\n\",\n \"Epoch 1518/2000\\n\",\n \"171/171 [==============================] - 0s 41us/step - loss: 0.0276 - acc: 0.9942\\n\",\n \"Epoch 1519/2000\\n\",\n \"171/171 [==============================] - 0s 52us/step - loss: 0.0011 - acc: 1.0000\\n\",\n \"Epoch 1520/2000\\n\",\n \"171/171 [==============================] - 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acc: 1.0000\\n\",\n \"Epoch 1529/2000\\n\",\n \"171/171 [==============================] - 0s 48us/step - loss: 0.0141 - acc: 0.9942\\n\",\n \"Epoch 1530/2000\\n\",\n \"171/171 [==============================] - 0s 52us/step - loss: 0.0208 - acc: 0.9942\\n\",\n \"Epoch 1531/2000\\n\",\n \"171/171 [==============================] - 0s 52us/step - loss: 9.4671e-04 - acc: 1.0000\\n\",\n \"Epoch 1532/2000\\n\",\n \"171/171 [==============================] - 0s 61us/step - loss: 0.0132 - acc: 0.9942\\n\",\n \"Epoch 1533/2000\\n\",\n \"171/171 [==============================] - 0s 47us/step - loss: 0.0058 - acc: 1.0000\\n\",\n \"Epoch 1534/2000\\n\",\n \"171/171 [==============================] - 0s 43us/step - loss: 0.0276 - acc: 0.9942\\n\",\n \"Epoch 1535/2000\\n\",\n \"171/171 [==============================] - 0s 47us/step - loss: 0.0011 - acc: 1.0000\\n\",\n \"Epoch 1536/2000\\n\",\n \"171/171 [==============================] - 0s 47us/step - loss: 0.0161 - acc: 0.9883\\n\",\n \"Epoch 1537/2000\\n\",\n \"171/171 [==============================] - 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0s 58us/step - loss: 0.0088 - acc: 0.9942\\n\",\n \"Epoch 1615/2000\\n\",\n \"171/171 [==============================] - 0s 45us/step - loss: 0.0128 - acc: 0.9942\\n\",\n \"Epoch 1616/2000\\n\",\n \"171/171 [==============================] - 0s 44us/step - loss: 6.2894e-04 - acc: 1.0000\\n\",\n \"Epoch 1617/2000\\n\",\n \"171/171 [==============================] - 0s 42us/step - loss: 0.0294 - acc: 0.9942\\n\",\n \"Epoch 1618/2000\\n\",\n \"171/171 [==============================] - 0s 56us/step - loss: 0.0082 - acc: 0.9942\\n\",\n \"Epoch 1619/2000\\n\",\n \"171/171 [==============================] - 0s 47us/step - loss: 0.0084 - acc: 1.0000\\n\",\n \"Epoch 1620/2000\\n\",\n \"171/171 [==============================] - 0s 44us/step - loss: 0.0142 - acc: 0.9942\\n\",\n \"Epoch 1621/2000\\n\"\n ]\n },\n {\n \"name\": \"stdout\",\n \"output_type\": \"stream\",\n \"text\": [\n \"171/171 [==============================] - 0s 54us/step - loss: 0.0174 - acc: 0.9942\\n\",\n \"Epoch 1622/2000\\n\",\n \"171/171 [==============================] - 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acc: 1.0000\\n\",\n \"Epoch 1648/2000\\n\",\n \"171/171 [==============================] - 0s 50us/step - loss: 0.0036 - acc: 1.0000\\n\",\n \"Epoch 1649/2000\\n\",\n \"171/171 [==============================] - 0s 54us/step - loss: 2.7838e-04 - acc: 1.0000\\n\",\n \"Epoch 1650/2000\\n\",\n \"171/171 [==============================] - 0s 48us/step - loss: 0.0043 - acc: 1.0000\\n\",\n \"Epoch 1651/2000\\n\",\n \"171/171 [==============================] - 0s 46us/step - loss: 0.0039 - acc: 1.0000\\n\",\n \"Epoch 1652/2000\\n\",\n \"171/171 [==============================] - 0s 42us/step - loss: 0.0014 - acc: 1.0000\\n\",\n \"Epoch 1653/2000\\n\",\n \"171/171 [==============================] - 0s 46us/step - loss: 0.0021 - acc: 1.0000\\n\",\n \"Epoch 1654/2000\\n\",\n \"171/171 [==============================] - 0s 43us/step - loss: 6.9908e-04 - acc: 1.0000\\n\",\n \"Epoch 1655/2000\\n\",\n \"171/171 [==============================] - 0s 43us/step - loss: 6.9583e-04 - acc: 1.0000\\n\",\n \"Epoch 1656/2000\\n\",\n \"171/171 [==============================] - 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acc: 1.0000\\n\",\n \"Epoch 1674/2000\\n\",\n \"171/171 [==============================] - 0s 49us/step - loss: 2.8598e-04 - acc: 1.0000\\n\",\n \"Epoch 1675/2000\\n\",\n \"171/171 [==============================] - 0s 44us/step - loss: 0.0055 - acc: 1.0000\\n\",\n \"Epoch 1676/2000\\n\",\n \"171/171 [==============================] - 0s 44us/step - loss: 0.0022 - acc: 1.0000\\n\",\n \"Epoch 1677/2000\\n\",\n \"171/171 [==============================] - 0s 49us/step - loss: 0.0023 - acc: 1.0000\\n\",\n \"Epoch 1678/2000\\n\",\n \"171/171 [==============================] - 0s 47us/step - loss: 3.7024e-04 - acc: 1.0000\\n\",\n \"Epoch 1679/2000\\n\",\n \"171/171 [==============================] - 0s 52us/step - loss: 0.0024 - acc: 1.0000\\n\",\n \"Epoch 1680/2000\\n\",\n \"171/171 [==============================] - 0s 44us/step - loss: 0.0147 - acc: 0.9942\\n\",\n \"Epoch 1681/2000\\n\",\n \"171/171 [==============================] - 0s 43us/step - loss: 6.2291e-04 - acc: 1.0000\\n\",\n \"Epoch 1682/2000\\n\",\n \"171/171 [==============================] - 0s 49us/step - loss: 2.6304e-04 - acc: 1.0000\\n\",\n \"Epoch 1683/2000\\n\",\n \"171/171 [==============================] - 0s 50us/step - loss: 0.0016 - acc: 1.0000\\n\",\n \"Epoch 1684/2000\\n\",\n \"171/171 [==============================] - 0s 52us/step - loss: 5.9295e-04 - acc: 1.0000\\n\",\n \"Epoch 1685/2000\\n\",\n \"171/171 [==============================] - 0s 40us/step - loss: 8.5502e-04 - acc: 1.0000\\n\",\n \"Epoch 1686/2000\\n\",\n \"171/171 [==============================] - 0s 46us/step - loss: 2.7467e-04 - acc: 1.0000\\n\",\n \"Epoch 1687/2000\\n\",\n \"171/171 [==============================] - 0s 50us/step - loss: 0.0033 - acc: 1.0000\\n\",\n \"Epoch 1688/2000\\n\",\n \"171/171 [==============================] - 0s 43us/step - loss: 0.0057 - acc: 1.0000\\n\",\n \"Epoch 1689/2000\\n\",\n \"171/171 [==============================] - 0s 47us/step - loss: 0.0012 - acc: 1.0000\\n\",\n \"Epoch 1690/2000\\n\",\n \"171/171 [==============================] - 0s 48us/step - loss: 0.0013 - acc: 1.0000\\n\",\n \"Epoch 1691/2000\\n\",\n \"171/171 [==============================] - 0s 56us/step - loss: 0.0021 - acc: 1.0000\\n\",\n \"Epoch 1692/2000\\n\",\n \"171/171 [==============================] - 0s 45us/step - loss: 3.8882e-04 - acc: 1.0000\\n\",\n \"Epoch 1693/2000\\n\",\n \"171/171 [==============================] - 0s 45us/step - loss: 4.9456e-04 - acc: 1.0000\\n\",\n \"Epoch 1694/2000\\n\",\n \"171/171 [==============================] - 0s 49us/step - loss: 0.0072 - acc: 0.9942\\n\",\n \"Epoch 1695/2000\\n\",\n \"171/171 [==============================] - 0s 45us/step - loss: 5.3197e-04 - acc: 1.0000\\n\",\n \"Epoch 1696/2000\\n\",\n \"171/171 [==============================] - 0s 44us/step - loss: 0.0106 - acc: 0.9942\\n\",\n \"Epoch 1697/2000\\n\",\n \"171/171 [==============================] - 0s 44us/step - loss: 4.2513e-04 - acc: 1.0000\\n\",\n \"Epoch 1698/2000\\n\",\n \"171/171 [==============================] - 0s 52us/step - loss: 6.2631e-04 - acc: 1.0000\\n\",\n \"Epoch 1699/2000\\n\",\n \"171/171 [==============================] - 0s 54us/step - loss: 0.0011 - acc: 1.0000\\n\",\n \"Epoch 1700/2000\\n\",\n \"171/171 [==============================] - 0s 52us/step - loss: 0.0074 - acc: 0.9942\\n\",\n \"Epoch 1701/2000\\n\"\n ]\n },\n {\n \"name\": \"stdout\",\n \"output_type\": \"stream\",\n \"text\": [\n \"171/171 [==============================] - 0s 50us/step - loss: 2.9063e-04 - acc: 1.0000\\n\",\n \"Epoch 1702/2000\\n\",\n \"171/171 [==============================] - 0s 42us/step - loss: 8.8858e-04 - acc: 1.0000\\n\",\n \"Epoch 1703/2000\\n\",\n \"171/171 [==============================] - 0s 44us/step - loss: 0.0021 - acc: 1.0000\\n\",\n \"Epoch 1704/2000\\n\",\n \"171/171 [==============================] - 0s 41us/step - loss: 0.0173 - acc: 0.9883\\n\",\n \"Epoch 1705/2000\\n\",\n \"171/171 [==============================] - 0s 52us/step - loss: 2.4480e-04 - acc: 1.0000\\n\",\n \"Epoch 1706/2000\\n\",\n \"171/171 [==============================] - 0s 43us/step - loss: 0.0045 - acc: 1.0000\\n\",\n \"Epoch 1707/2000\\n\",\n \"171/171 [==============================] - 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acc: 1.0000\\n\",\n \"Epoch 1716/2000\\n\",\n \"171/171 [==============================] - 0s 43us/step - loss: 0.0012 - acc: 1.0000\\n\",\n \"Epoch 1717/2000\\n\",\n \"171/171 [==============================] - 0s 59us/step - loss: 0.0022 - acc: 1.0000\\n\",\n \"Epoch 1718/2000\\n\",\n \"171/171 [==============================] - 0s 44us/step - loss: 0.0021 - acc: 1.0000\\n\",\n \"Epoch 1719/2000\\n\",\n \"171/171 [==============================] - 0s 44us/step - loss: 0.0017 - acc: 1.0000\\n\",\n \"Epoch 1720/2000\\n\",\n \"171/171 [==============================] - 0s 52us/step - loss: 0.0014 - acc: 1.0000\\n\",\n \"Epoch 1721/2000\\n\",\n \"171/171 [==============================] - 0s 51us/step - loss: 0.0010 - acc: 1.0000\\n\",\n \"Epoch 1722/2000\\n\",\n \"171/171 [==============================] - 0s 47us/step - loss: 1.1830e-04 - acc: 1.0000\\n\",\n \"Epoch 1723/2000\\n\",\n \"171/171 [==============================] - 0s 47us/step - loss: 3.0929e-04 - acc: 1.0000\\n\",\n \"Epoch 1724/2000\\n\",\n \"171/171 [==============================] - 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loss: 9.8487e-05 - acc: 1.0000\\n\",\n \"Epoch 1733/2000\\n\",\n \"171/171 [==============================] - 0s 47us/step - loss: 2.4626e-04 - acc: 1.0000\\n\",\n \"Epoch 1734/2000\\n\",\n \"171/171 [==============================] - 0s 47us/step - loss: 0.0028 - acc: 1.0000\\n\",\n \"Epoch 1735/2000\\n\",\n \"171/171 [==============================] - 0s 51us/step - loss: 0.0063 - acc: 0.9942\\n\",\n \"Epoch 1736/2000\\n\",\n \"171/171 [==============================] - 0s 51us/step - loss: 2.8901e-04 - acc: 1.0000\\n\",\n \"Epoch 1737/2000\\n\",\n \"171/171 [==============================] - 0s 52us/step - loss: 0.0018 - acc: 1.0000\\n\",\n \"Epoch 1738/2000\\n\",\n \"171/171 [==============================] - 0s 47us/step - loss: 0.0016 - acc: 1.0000\\n\",\n \"Epoch 1739/2000\\n\",\n \"171/171 [==============================] - 0s 51us/step - loss: 1.5095e-04 - acc: 1.0000\\n\",\n \"Epoch 1740/2000\\n\",\n \"171/171 [==============================] - 0s 50us/step - loss: 4.1351e-04 - acc: 1.0000\\n\",\n \"Epoch 1741/2000\\n\",\n \"171/171 [==============================] - 0s 49us/step - loss: 1.1828e-04 - acc: 1.0000\\n\",\n \"Epoch 1742/2000\\n\",\n \"171/171 [==============================] - 0s 46us/step - loss: 0.0066 - acc: 0.9942\\n\",\n \"Epoch 1743/2000\\n\",\n \"171/171 [==============================] - 0s 56us/step - loss: 0.0030 - acc: 1.0000\\n\",\n \"Epoch 1744/2000\\n\",\n \"171/171 [==============================] - 0s 53us/step - loss: 0.0044 - acc: 1.0000\\n\",\n \"Epoch 1745/2000\\n\",\n \"171/171 [==============================] - 0s 44us/step - loss: 8.8786e-04 - acc: 1.0000\\n\",\n \"Epoch 1746/2000\\n\",\n \"171/171 [==============================] - 0s 49us/step - loss: 3.0033e-04 - acc: 1.0000\\n\",\n \"Epoch 1747/2000\\n\",\n \"171/171 [==============================] - 0s 50us/step - loss: 0.0031 - acc: 1.0000\\n\",\n \"Epoch 1748/2000\\n\",\n \"171/171 [==============================] - 0s 47us/step - loss: 8.3387e-04 - acc: 1.0000\\n\",\n \"Epoch 1749/2000\\n\",\n \"171/171 [==============================] - 0s 54us/step - loss: 0.0068 - acc: 0.9942\\n\",\n \"Epoch 1750/2000\\n\",\n \"171/171 [==============================] - 0s 42us/step - loss: 0.0022 - acc: 1.0000\\n\",\n \"Epoch 1751/2000\\n\",\n \"171/171 [==============================] - 0s 52us/step - loss: 5.1427e-04 - acc: 1.0000\\n\",\n \"Epoch 1752/2000\\n\",\n \"171/171 [==============================] - 0s 48us/step - loss: 0.0037 - acc: 1.0000\\n\",\n \"Epoch 1753/2000\\n\",\n \"171/171 [==============================] - 0s 51us/step - loss: 4.3322e-04 - acc: 1.0000\\n\",\n \"Epoch 1754/2000\\n\",\n \"171/171 [==============================] - 0s 50us/step - loss: 6.2167e-04 - acc: 1.0000\\n\",\n \"Epoch 1755/2000\\n\",\n \"171/171 [==============================] - 0s 39us/step - loss: 2.9486e-04 - acc: 1.0000\\n\",\n \"Epoch 1756/2000\\n\",\n \"171/171 [==============================] - 0s 44us/step - loss: 2.9241e-04 - acc: 1.0000\\n\",\n \"Epoch 1757/2000\\n\",\n \"171/171 [==============================] - 0s 44us/step - loss: 7.0775e-04 - acc: 1.0000\\n\",\n \"Epoch 1758/2000\\n\",\n \"171/171 [==============================] - 0s 57us/step - loss: 0.0047 - acc: 0.9942\\n\",\n \"Epoch 1759/2000\\n\",\n \"171/171 [==============================] - 0s 40us/step - loss: 2.9967e-04 - acc: 1.0000\\n\",\n \"Epoch 1760/2000\\n\",\n \"171/171 [==============================] - 0s 58us/step - loss: 9.0102e-04 - acc: 1.0000\\n\",\n \"Epoch 1761/2000\\n\",\n \"171/171 [==============================] - 0s 50us/step - loss: 0.0145 - acc: 0.9942\\n\",\n \"Epoch 1762/2000\\n\",\n \"171/171 [==============================] - 0s 69us/step - loss: 3.5424e-04 - acc: 1.0000\\n\",\n \"Epoch 1763/2000\\n\",\n \"171/171 [==============================] - 0s 50us/step - loss: 0.0011 - acc: 1.0000\\n\",\n \"Epoch 1764/2000\\n\",\n \"171/171 [==============================] - 0s 42us/step - loss: 4.5707e-04 - acc: 1.0000\\n\",\n \"Epoch 1765/2000\\n\",\n \"171/171 [==============================] - 0s 41us/step - loss: 0.0012 - acc: 1.0000\\n\",\n \"Epoch 1766/2000\\n\",\n \"171/171 [==============================] - 0s 46us/step - loss: 3.8440e-04 - acc: 1.0000\\n\",\n \"Epoch 1767/2000\\n\",\n \"171/171 [==============================] - 0s 42us/step - loss: 9.4748e-05 - acc: 1.0000\\n\",\n \"Epoch 1768/2000\\n\",\n \"171/171 [==============================] - 0s 42us/step - loss: 0.0016 - acc: 1.0000\\n\",\n \"Epoch 1769/2000\\n\",\n \"171/171 [==============================] - 0s 39us/step - loss: 1.8451e-04 - acc: 1.0000\\n\",\n \"Epoch 1770/2000\\n\",\n \"171/171 [==============================] - 0s 63us/step - loss: 8.2639e-04 - acc: 1.0000\\n\",\n \"Epoch 1771/2000\\n\",\n \"171/171 [==============================] - 0s 51us/step - loss: 2.0623e-04 - acc: 1.0000\\n\",\n \"Epoch 1772/2000\\n\",\n \"171/171 [==============================] - 0s 46us/step - loss: 3.0651e-04 - acc: 1.0000\\n\",\n \"Epoch 1773/2000\\n\",\n \"171/171 [==============================] - 0s 46us/step - loss: 8.4168e-05 - acc: 1.0000\\n\",\n \"Epoch 1774/2000\\n\",\n \"171/171 [==============================] - 0s 45us/step - loss: 1.8766e-04 - acc: 1.0000\\n\",\n \"Epoch 1775/2000\\n\",\n \"171/171 [==============================] - 0s 57us/step - loss: 6.5318e-04 - acc: 1.0000\\n\",\n \"Epoch 1776/2000\\n\",\n \"171/171 [==============================] - 0s 41us/step - loss: 9.0497e-05 - acc: 1.0000\\n\",\n \"Epoch 1777/2000\\n\",\n \"171/171 [==============================] - 0s 42us/step - loss: 3.8318e-04 - acc: 1.0000\\n\",\n \"Epoch 1778/2000\\n\",\n \"171/171 [==============================] - 0s 41us/step - loss: 2.2905e-04 - acc: 1.0000\\n\",\n \"Epoch 1779/2000\\n\",\n \"171/171 [==============================] - 0s 48us/step - loss: 5.9931e-04 - acc: 1.0000\\n\",\n \"Epoch 1780/2000\\n\"\n ]\n },\n {\n \"name\": \"stdout\",\n \"output_type\": \"stream\",\n \"text\": [\n \"171/171 [==============================] - 0s 41us/step - loss: 3.9914e-04 - acc: 1.0000\\n\",\n \"Epoch 1781/2000\\n\",\n \"171/171 [==============================] - 0s 49us/step - loss: 4.0888e-04 - acc: 1.0000\\n\",\n \"Epoch 1782/2000\\n\",\n \"171/171 [==============================] - 0s 47us/step - loss: 2.6013e-04 - acc: 1.0000\\n\",\n \"Epoch 1783/2000\\n\",\n \"171/171 [==============================] - 0s 56us/step - loss: 0.0185 - acc: 0.9942\\n\",\n \"Epoch 1784/2000\\n\",\n \"171/171 [==============================] - 0s 42us/step - loss: 3.2764e-04 - acc: 1.0000\\n\",\n \"Epoch 1785/2000\\n\",\n \"171/171 [==============================] - 0s 58us/step - loss: 3.7510e-04 - acc: 1.0000\\n\",\n \"Epoch 1786/2000\\n\",\n \"171/171 [==============================] - 0s 53us/step - loss: 8.1681e-04 - acc: 1.0000\\n\",\n \"Epoch 1787/2000\\n\",\n \"171/171 [==============================] - 0s 43us/step - loss: 0.0031 - acc: 1.0000\\n\",\n \"Epoch 1788/2000\\n\",\n \"171/171 [==============================] - 0s 50us/step - loss: 3.2651e-04 - acc: 1.0000\\n\",\n \"Epoch 1789/2000\\n\",\n \"171/171 [==============================] - 0s 47us/step - loss: 2.6888e-04 - acc: 1.0000\\n\",\n \"Epoch 1790/2000\\n\",\n \"171/171 [==============================] - 0s 53us/step - loss: 0.0040 - acc: 1.0000\\n\",\n \"Epoch 1791/2000\\n\",\n \"171/171 [==============================] - 0s 43us/step - loss: 2.0441e-04 - acc: 1.0000\\n\",\n \"Epoch 1792/2000\\n\",\n \"171/171 [==============================] - 0s 52us/step - loss: 7.7783e-04 - acc: 1.0000\\n\",\n \"Epoch 1793/2000\\n\",\n \"171/171 [==============================] - 0s 47us/step - loss: 0.0043 - acc: 1.0000\\n\",\n \"Epoch 1794/2000\\n\",\n \"171/171 [==============================] - 0s 54us/step - loss: 5.2552e-05 - acc: 1.0000\\n\",\n \"Epoch 1795/2000\\n\",\n \"171/171 [==============================] - 0s 41us/step - loss: 6.5959e-04 - acc: 1.0000\\n\",\n \"Epoch 1796/2000\\n\",\n \"171/171 [==============================] - 0s 51us/step - loss: 4.1715e-04 - acc: 1.0000\\n\",\n \"Epoch 1797/2000\\n\",\n \"171/171 [==============================] - 0s 50us/step - loss: 1.1694e-04 - acc: 1.0000\\n\",\n \"Epoch 1798/2000\\n\",\n \"171/171 [==============================] - 0s 44us/step - loss: 0.0052 - acc: 0.9942\\n\",\n \"Epoch 1799/2000\\n\",\n \"171/171 [==============================] - 0s 48us/step - loss: 3.0549e-04 - acc: 1.0000\\n\",\n \"Epoch 1800/2000\\n\",\n \"171/171 [==============================] - 0s 53us/step - loss: 0.0144 - acc: 0.9942\\n\",\n \"Epoch 1801/2000\\n\",\n \"171/171 [==============================] - 0s 56us/step - loss: 1.2930e-04 - acc: 1.0000\\n\",\n \"Epoch 1802/2000\\n\",\n \"171/171 [==============================] - 0s 43us/step - loss: 5.2932e-04 - acc: 1.0000\\n\",\n \"Epoch 1803/2000\\n\",\n \"171/171 [==============================] - 0s 53us/step - loss: 0.0014 - acc: 1.0000\\n\",\n \"Epoch 1804/2000\\n\",\n \"171/171 [==============================] - 0s 47us/step - loss: 7.5612e-04 - acc: 1.0000\\n\",\n \"Epoch 1805/2000\\n\",\n \"171/171 [==============================] - 0s 53us/step - loss: 0.0114 - acc: 0.9942\\n\",\n \"Epoch 1806/2000\\n\",\n \"171/171 [==============================] - 0s 45us/step - loss: 0.0024 - acc: 1.0000\\n\",\n \"Epoch 1807/2000\\n\",\n \"171/171 [==============================] - 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acc: 1.0000\\n\",\n \"Epoch 1816/2000\\n\",\n \"171/171 [==============================] - 0s 51us/step - loss: 0.0041 - acc: 1.0000\\n\",\n \"Epoch 1817/2000\\n\",\n \"171/171 [==============================] - 0s 44us/step - loss: 0.0017 - acc: 1.0000\\n\",\n \"Epoch 1818/2000\\n\",\n \"171/171 [==============================] - 0s 51us/step - loss: 3.5269e-04 - acc: 1.0000\\n\",\n \"Epoch 1819/2000\\n\",\n \"171/171 [==============================] - 0s 42us/step - loss: 1.1273e-04 - acc: 1.0000\\n\",\n \"Epoch 1820/2000\\n\",\n \"171/171 [==============================] - 0s 53us/step - loss: 4.9261e-04 - acc: 1.0000\\n\",\n \"Epoch 1821/2000\\n\",\n \"171/171 [==============================] - 0s 51us/step - loss: 2.8857e-04 - acc: 1.0000\\n\",\n \"Epoch 1822/2000\\n\",\n \"171/171 [==============================] - 0s 49us/step - loss: 4.3370e-04 - acc: 1.0000\\n\",\n \"Epoch 1823/2000\\n\",\n \"171/171 [==============================] - 0s 38us/step - loss: 0.0058 - acc: 0.9942\\n\",\n \"Epoch 1824/2000\\n\",\n \"171/171 [==============================] - 0s 51us/step - loss: 4.9589e-05 - acc: 1.0000\\n\",\n \"Epoch 1825/2000\\n\",\n \"171/171 [==============================] - 0s 48us/step - loss: 0.0018 - acc: 1.0000\\n\",\n \"Epoch 1826/2000\\n\",\n \"171/171 [==============================] - 0s 52us/step - loss: 7.2263e-04 - acc: 1.0000\\n\",\n \"Epoch 1827/2000\\n\",\n \"171/171 [==============================] - 0s 64us/step - loss: 0.0019 - acc: 1.0000\\n\",\n \"Epoch 1828/2000\\n\",\n \"171/171 [==============================] - 0s 53us/step - loss: 9.0881e-04 - acc: 1.0000\\n\",\n \"Epoch 1829/2000\\n\",\n \"171/171 [==============================] - 0s 56us/step - loss: 3.4813e-04 - acc: 1.0000\\n\",\n \"Epoch 1830/2000\\n\",\n \"171/171 [==============================] - 0s 48us/step - loss: 0.0247 - acc: 0.9942\\n\",\n \"Epoch 1831/2000\\n\",\n \"171/171 [==============================] - 0s 45us/step - loss: 0.0075 - acc: 0.9942\\n\",\n \"Epoch 1832/2000\\n\",\n \"171/171 [==============================] - 0s 46us/step - loss: 0.0353 - acc: 0.9883\\n\",\n \"Epoch 1833/2000\\n\",\n \"171/171 [==============================] - 0s 46us/step - loss: 0.0096 - acc: 1.0000\\n\",\n \"Epoch 1834/2000\\n\",\n \"171/171 [==============================] - 0s 47us/step - loss: 0.0212 - acc: 0.9883\\n\",\n \"Epoch 1835/2000\\n\",\n \"171/171 [==============================] - 0s 41us/step - loss: 3.2433e-04 - acc: 1.0000\\n\",\n \"Epoch 1836/2000\\n\",\n \"171/171 [==============================] - 0s 41us/step - loss: 0.0062 - acc: 1.0000\\n\",\n \"Epoch 1837/2000\\n\",\n \"171/171 [==============================] - 0s 41us/step - loss: 0.0145 - acc: 0.9942\\n\",\n \"Epoch 1838/2000\\n\",\n \"171/171 [==============================] - 0s 40us/step - loss: 0.0018 - acc: 1.0000\\n\",\n \"Epoch 1839/2000\\n\",\n \"171/171 [==============================] - 0s 48us/step - loss: 0.0120 - acc: 0.9942\\n\",\n \"Epoch 1840/2000\\n\",\n \"171/171 [==============================] - 0s 45us/step - loss: 0.0025 - acc: 1.0000\\n\",\n \"Epoch 1841/2000\\n\",\n \"171/171 [==============================] - 0s 45us/step - loss: 0.0183 - acc: 0.9942\\n\",\n \"Epoch 1842/2000\\n\",\n \"171/171 [==============================] - 0s 43us/step - loss: 0.0159 - acc: 0.9942\\n\",\n \"Epoch 1843/2000\\n\",\n \"171/171 [==============================] - 0s 48us/step - loss: 0.0336 - acc: 0.9942\\n\",\n \"Epoch 1844/2000\\n\",\n \"171/171 [==============================] - 0s 51us/step - loss: 0.0022 - acc: 1.0000\\n\",\n \"Epoch 1845/2000\\n\",\n \"171/171 [==============================] - 0s 48us/step - loss: 0.0016 - acc: 1.0000\\n\",\n \"Epoch 1846/2000\\n\",\n \"171/171 [==============================] - 0s 48us/step - loss: 0.0012 - acc: 1.0000\\n\",\n \"Epoch 1847/2000\\n\",\n \"171/171 [==============================] - 0s 42us/step - loss: 0.0014 - acc: 1.0000\\n\",\n \"Epoch 1848/2000\\n\",\n \"171/171 [==============================] - 0s 43us/step - loss: 7.2988e-04 - acc: 1.0000\\n\",\n \"Epoch 1849/2000\\n\",\n \"171/171 [==============================] - 0s 50us/step - loss: 0.0040 - acc: 1.0000\\n\",\n \"Epoch 1850/2000\\n\",\n \"171/171 [==============================] - 0s 58us/step - loss: 0.0015 - acc: 1.0000\\n\",\n \"Epoch 1851/2000\\n\",\n \"171/171 [==============================] - 0s 49us/step - loss: 0.0012 - acc: 1.0000\\n\",\n \"Epoch 1852/2000\\n\",\n \"171/171 [==============================] - 0s 45us/step - loss: 0.0074 - acc: 0.9942\\n\",\n \"Epoch 1853/2000\\n\",\n \"171/171 [==============================] - 0s 41us/step - loss: 5.3877e-04 - acc: 1.0000\\n\",\n \"Epoch 1854/2000\\n\",\n \"171/171 [==============================] - 0s 44us/step - loss: 0.0011 - acc: 1.0000\\n\",\n \"Epoch 1855/2000\\n\",\n \"171/171 [==============================] - 0s 43us/step - loss: 0.0030 - acc: 1.0000\\n\",\n \"Epoch 1856/2000\\n\",\n \"171/171 [==============================] - 0s 51us/step - loss: 5.0335e-04 - acc: 1.0000\\n\",\n \"Epoch 1857/2000\\n\",\n \"171/171 [==============================] - 0s 49us/step - loss: 0.0019 - acc: 1.0000\\n\",\n \"Epoch 1858/2000\\n\",\n \"171/171 [==============================] - 0s 51us/step - loss: 0.0057 - acc: 1.0000\\n\",\n \"Epoch 1859/2000\\n\"\n ]\n },\n {\n \"name\": \"stdout\",\n \"output_type\": \"stream\",\n \"text\": [\n \"171/171 [==============================] - 0s 39us/step - loss: 1.6221e-04 - acc: 1.0000\\n\",\n \"Epoch 1860/2000\\n\",\n \"171/171 [==============================] - 0s 46us/step - loss: 1.9505e-04 - acc: 1.0000\\n\",\n \"Epoch 1861/2000\\n\",\n \"171/171 [==============================] - 0s 42us/step - loss: 5.5714e-04 - acc: 1.0000\\n\",\n \"Epoch 1862/2000\\n\",\n \"171/171 [==============================] - 0s 52us/step - loss: 6.6762e-04 - acc: 1.0000\\n\",\n \"Epoch 1863/2000\\n\",\n \"171/171 [==============================] - 0s 47us/step - loss: 0.0014 - acc: 1.0000\\n\",\n \"Epoch 1864/2000\\n\",\n \"171/171 [==============================] - 0s 51us/step - loss: 6.2752e-04 - acc: 1.0000\\n\",\n \"Epoch 1865/2000\\n\",\n \"171/171 [==============================] - 0s 56us/step - loss: 1.0035e-04 - acc: 1.0000\\n\",\n \"Epoch 1866/2000\\n\",\n \"171/171 [==============================] - 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loss: 0.0317 - acc: 0.9883\\n\",\n \"Epoch 1875/2000\\n\",\n \"171/171 [==============================] - 0s 50us/step - loss: 0.0038 - acc: 1.0000\\n\",\n \"Epoch 1876/2000\\n\",\n \"171/171 [==============================] - 0s 39us/step - loss: 0.0024 - acc: 1.0000\\n\",\n \"Epoch 1877/2000\\n\",\n \"171/171 [==============================] - 0s 55us/step - loss: 0.0053 - acc: 0.9942\\n\",\n \"Epoch 1878/2000\\n\",\n \"171/171 [==============================] - 0s 46us/step - loss: 8.1998e-04 - acc: 1.0000\\n\",\n \"Epoch 1879/2000\\n\",\n \"171/171 [==============================] - 0s 49us/step - loss: 1.9412e-04 - acc: 1.0000\\n\",\n \"Epoch 1880/2000\\n\",\n \"171/171 [==============================] - 0s 48us/step - loss: 6.2695e-04 - acc: 1.0000\\n\",\n \"Epoch 1881/2000\\n\",\n \"171/171 [==============================] - 0s 45us/step - loss: 8.2577e-04 - acc: 1.0000\\n\",\n \"Epoch 1882/2000\\n\",\n \"171/171 [==============================] - 0s 41us/step - loss: 0.0135 - acc: 0.9942\\n\",\n \"Epoch 1883/2000\\n\",\n \"171/171 [==============================] - 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0s 42us/step - loss: 0.0016 - acc: 1.0000\\n\",\n \"Epoch 1911/2000\\n\",\n \"171/171 [==============================] - 0s 50us/step - loss: 0.0011 - acc: 1.0000\\n\",\n \"Epoch 1912/2000\\n\",\n \"171/171 [==============================] - 0s 46us/step - loss: 0.0162 - acc: 0.9942\\n\",\n \"Epoch 1913/2000\\n\",\n \"171/171 [==============================] - 0s 48us/step - loss: 0.0137 - acc: 0.9883\\n\",\n \"Epoch 1914/2000\\n\",\n \"171/171 [==============================] - 0s 49us/step - loss: 0.0189 - acc: 0.9942\\n\",\n \"Epoch 1915/2000\\n\",\n \"171/171 [==============================] - 0s 46us/step - loss: 0.0273 - acc: 0.9942\\n\",\n \"Epoch 1916/2000\\n\",\n \"171/171 [==============================] - 0s 43us/step - loss: 0.0061 - acc: 0.9942\\n\",\n \"Epoch 1917/2000\\n\",\n \"171/171 [==============================] - 0s 49us/step - loss: 0.0256 - acc: 0.9883\\n\",\n \"Epoch 1918/2000\\n\",\n \"171/171 [==============================] - 0s 52us/step - loss: 0.0053 - acc: 1.0000\\n\",\n \"Epoch 1919/2000\\n\",\n \"171/171 [==============================] - 0s 40us/step - loss: 0.0027 - acc: 1.0000\\n\",\n \"Epoch 1920/2000\\n\",\n \"171/171 [==============================] - 0s 47us/step - loss: 0.0039 - acc: 1.0000\\n\",\n \"Epoch 1921/2000\\n\",\n \"171/171 [==============================] - 0s 41us/step - loss: 0.0020 - acc: 1.0000\\n\",\n \"Epoch 1922/2000\\n\",\n \"171/171 [==============================] - 0s 49us/step - loss: 0.0064 - acc: 1.0000\\n\",\n \"Epoch 1923/2000\\n\",\n \"171/171 [==============================] - 0s 51us/step - loss: 0.0066 - acc: 0.9942\\n\",\n \"Epoch 1924/2000\\n\",\n \"171/171 [==============================] - 0s 48us/step - loss: 7.5589e-04 - acc: 1.0000\\n\",\n \"Epoch 1925/2000\\n\",\n \"171/171 [==============================] - 0s 44us/step - loss: 0.0121 - acc: 0.9942\\n\",\n \"Epoch 1926/2000\\n\",\n \"171/171 [==============================] - 0s 55us/step - loss: 0.0064 - acc: 1.0000\\n\",\n \"Epoch 1927/2000\\n\",\n \"171/171 [==============================] - 0s 50us/step - loss: 0.0021 - acc: 1.0000\\n\",\n \"Epoch 1928/2000\\n\",\n \"171/171 [==============================] - 0s 46us/step - loss: 0.0124 - acc: 0.9942\\n\",\n \"Epoch 1929/2000\\n\",\n \"171/171 [==============================] - 0s 45us/step - loss: 0.0028 - acc: 1.0000\\n\",\n \"Epoch 1930/2000\\n\",\n \"171/171 [==============================] - 0s 44us/step - loss: 0.0080 - acc: 1.0000\\n\",\n \"Epoch 1931/2000\\n\",\n \"171/171 [==============================] - 0s 41us/step - loss: 0.0038 - acc: 1.0000\\n\",\n \"Epoch 1932/2000\\n\",\n \"171/171 [==============================] - 0s 45us/step - loss: 0.0028 - acc: 1.0000\\n\",\n \"Epoch 1933/2000\\n\",\n \"171/171 [==============================] - 0s 44us/step - loss: 0.0084 - acc: 0.9942\\n\",\n \"Epoch 1934/2000\\n\",\n \"171/171 [==============================] - 0s 49us/step - loss: 0.0195 - acc: 0.9942\\n\",\n \"Epoch 1935/2000\\n\",\n \"171/171 [==============================] - 0s 42us/step - loss: 0.0016 - acc: 1.0000\\n\",\n \"Epoch 1936/2000\\n\",\n \"171/171 [==============================] - 0s 46us/step - loss: 0.0479 - acc: 0.9883\\n\",\n \"Epoch 1937/2000\\n\",\n \"171/171 [==============================] - 0s 41us/step - loss: 0.0083 - acc: 1.0000\\n\",\n \"Epoch 1938/2000\\n\",\n \"171/171 [==============================] - 0s 51us/step - loss: 0.0125 - acc: 0.9883\\n\",\n \"Epoch 1939/2000\\n\"\n ]\n },\n {\n \"name\": \"stdout\",\n \"output_type\": \"stream\",\n \"text\": [\n \"171/171 [==============================] - 0s 49us/step - loss: 0.0078 - acc: 0.9942\\n\",\n \"Epoch 1940/2000\\n\",\n \"171/171 [==============================] - 0s 59us/step - loss: 0.0069 - acc: 1.0000\\n\",\n \"Epoch 1941/2000\\n\",\n \"171/171 [==============================] - 0s 48us/step - loss: 0.0016 - acc: 1.0000\\n\",\n \"Epoch 1942/2000\\n\",\n \"171/171 [==============================] - 0s 49us/step - loss: 0.0129 - acc: 0.9942\\n\",\n \"Epoch 1943/2000\\n\",\n \"171/171 [==============================] - 0s 45us/step - loss: 0.0028 - acc: 1.0000\\n\",\n \"Epoch 1944/2000\\n\",\n \"171/171 [==============================] - 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acc: 1.0000\\n\",\n \"Epoch 1953/2000\\n\",\n \"171/171 [==============================] - 0s 79us/step - loss: 0.0023 - acc: 1.0000\\n\",\n \"Epoch 1954/2000\\n\",\n \"171/171 [==============================] - 0s 63us/step - loss: 0.0026 - acc: 1.0000\\n\",\n \"Epoch 1955/2000\\n\",\n \"171/171 [==============================] - 0s 44us/step - loss: 0.0021 - acc: 1.0000\\n\",\n \"Epoch 1956/2000\\n\",\n \"171/171 [==============================] - 0s 46us/step - loss: 0.0023 - acc: 1.0000\\n\",\n \"Epoch 1957/2000\\n\",\n \"171/171 [==============================] - 0s 54us/step - loss: 0.0192 - acc: 0.9942\\n\",\n \"Epoch 1958/2000\\n\",\n \"171/171 [==============================] - 0s 51us/step - loss: 7.0861e-04 - acc: 1.0000\\n\",\n \"Epoch 1959/2000\\n\",\n \"171/171 [==============================] - 0s 55us/step - loss: 0.0039 - acc: 1.0000\\n\",\n \"Epoch 1960/2000\\n\",\n \"171/171 [==============================] - 0s 43us/step - loss: 0.0074 - acc: 0.9942\\n\",\n \"Epoch 1961/2000\\n\",\n \"171/171 [==============================] - 0s 45us/step - loss: 0.0150 - acc: 0.9942\\n\",\n \"Epoch 1962/2000\\n\",\n \"171/171 [==============================] - 0s 38us/step - loss: 9.8752e-04 - acc: 1.0000\\n\",\n \"Epoch 1963/2000\\n\",\n \"171/171 [==============================] - 0s 59us/step - loss: 0.0016 - acc: 1.0000\\n\",\n \"Epoch 1964/2000\\n\",\n \"171/171 [==============================] - 0s 45us/step - loss: 0.0091 - acc: 0.9942\\n\",\n \"Epoch 1965/2000\\n\",\n \"171/171 [==============================] - 0s 44us/step - loss: 0.0012 - acc: 1.0000\\n\",\n \"Epoch 1966/2000\\n\",\n \"171/171 [==============================] - 0s 46us/step - loss: 3.7367e-04 - acc: 1.0000\\n\",\n \"Epoch 1967/2000\\n\",\n \"171/171 [==============================] - 0s 51us/step - loss: 1.9066e-04 - acc: 1.0000\\n\",\n \"Epoch 1968/2000\\n\",\n \"171/171 [==============================] - 0s 47us/step - loss: 0.0027 - acc: 1.0000\\n\",\n \"Epoch 1969/2000\\n\",\n \"171/171 [==============================] - 0s 51us/step - loss: 0.0058 - acc: 0.9942\\n\",\n \"Epoch 1970/2000\\n\",\n \"171/171 [==============================] - 0s 42us/step - loss: 0.0181 - acc: 0.9942\\n\",\n \"Epoch 1971/2000\\n\",\n \"171/171 [==============================] - 0s 53us/step - loss: 0.0197 - acc: 0.9942\\n\",\n \"Epoch 1972/2000\\n\",\n \"171/171 [==============================] - 0s 46us/step - loss: 0.0022 - acc: 1.0000\\n\",\n \"Epoch 1973/2000\\n\",\n \"171/171 [==============================] - 0s 45us/step - loss: 0.0015 - acc: 1.0000\\n\",\n \"Epoch 1974/2000\\n\",\n \"171/171 [==============================] - 0s 42us/step - loss: 0.0016 - acc: 1.0000\\n\",\n \"Epoch 1975/2000\\n\",\n \"171/171 [==============================] - 0s 49us/step - loss: 0.0014 - acc: 1.0000\\n\",\n \"Epoch 1976/2000\\n\",\n \"171/171 [==============================] - 0s 49us/step - loss: 0.0065 - acc: 0.9942\\n\",\n \"Epoch 1977/2000\\n\",\n \"171/171 [==============================] - 0s 53us/step - loss: 0.0201 - acc: 0.9942\\n\",\n \"Epoch 1978/2000\\n\",\n \"171/171 [==============================] - 0s 42us/step - loss: 0.0076 - acc: 0.9942\\n\",\n \"Epoch 1979/2000\\n\",\n \"171/171 [==============================] - 0s 41us/step - loss: 0.0017 - acc: 1.0000\\n\",\n \"Epoch 1980/2000\\n\",\n \"171/171 [==============================] - 0s 44us/step - loss: 0.0011 - acc: 1.0000\\n\",\n \"Epoch 1981/2000\\n\",\n \"171/171 [==============================] - 0s 45us/step - loss: 0.0025 - acc: 1.0000\\n\",\n \"Epoch 1982/2000\\n\",\n \"171/171 [==============================] - 0s 69us/step - loss: 0.0026 - acc: 1.0000\\n\",\n \"Epoch 1983/2000\\n\",\n \"171/171 [==============================] - 0s 60us/step - loss: 0.0014 - acc: 1.0000\\n\",\n \"Epoch 1984/2000\\n\",\n \"171/171 [==============================] - 0s 51us/step - loss: 8.8199e-05 - acc: 1.0000\\n\",\n \"Epoch 1985/2000\\n\",\n \"171/171 [==============================] - 0s 40us/step - loss: 0.0205 - acc: 0.9825\\n\",\n \"Epoch 1986/2000\\n\",\n \"171/171 [==============================] - 0s 57us/step - loss: 6.8073e-04 - acc: 1.0000\\n\",\n \"Epoch 1987/2000\\n\",\n \"171/171 [==============================] - 0s 50us/step - loss: 0.0063 - acc: 0.9942\\n\",\n \"Epoch 1988/2000\\n\",\n \"171/171 [==============================] - 0s 48us/step - loss: 8.7034e-04 - acc: 1.0000\\n\",\n \"Epoch 1989/2000\\n\",\n \"171/171 [==============================] - 0s 48us/step - loss: 0.0042 - acc: 1.0000\\n\",\n \"Epoch 1990/2000\\n\",\n \"171/171 [==============================] - 0s 42us/step - loss: 1.1740e-04 - acc: 1.0000\\n\",\n \"Epoch 1991/2000\\n\",\n \"171/171 [==============================] - 0s 42us/step - loss: 0.0011 - acc: 1.0000\\n\",\n \"Epoch 1992/2000\\n\",\n \"171/171 [==============================] - 0s 45us/step - loss: 0.0103 - acc: 0.9942\\n\",\n \"Epoch 1993/2000\\n\",\n \"171/171 [==============================] - 0s 56us/step - loss: 7.7267e-04 - acc: 1.0000\\n\",\n \"Epoch 1994/2000\\n\",\n \"171/171 [==============================] - 0s 47us/step - loss: 0.0014 - acc: 1.0000\\n\",\n \"Epoch 1995/2000\\n\",\n \"171/171 [==============================] - 0s 48us/step - loss: 3.1124e-04 - acc: 1.0000\\n\",\n \"Epoch 1996/2000\\n\",\n \"171/171 [==============================] - 0s 42us/step - loss: 0.0111 - acc: 0.9942\\n\",\n \"Epoch 1997/2000\\n\",\n \"171/171 [==============================] - 0s 43us/step - loss: 0.0014 - acc: 1.0000\\n\",\n \"Epoch 1998/2000\\n\",\n \"171/171 [==============================] - 0s 43us/step - loss: 0.0015 - acc: 1.0000\\n\",\n \"Epoch 1999/2000\\n\",\n \"171/171 [==============================] - 0s 50us/step - loss: 0.0019 - acc: 1.0000\\n\",\n \"Epoch 2000/2000\\n\",\n \"171/171 [==============================] - 0s 52us/step - loss: 2.3360e-04 - acc: 1.0000\\n\"\n ]\n },\n {\n \"data\": {\n \"text/plain\": [\n \"\"\n ]\n },\n \"execution_count\": 21,\n \"metadata\": {},\n \"output_type\": \"execute_result\"\n }\n ],\n \"source\": [\n \"opt = SGD(lr=0.01)\\n\",\n \"model = Sequential()\\n\",\n \"model.add(Dense(128, activation='relu', input_shape=(50,)))\\n\",\n \"model.add(Dropout(0.5))\\n\",\n \"model.add(Dense(128, activation='relu'))\\n\",\n \"model.add(Dropout(0.5))\\n\",\n \"model.add(Dense(y.shape[1], activation='softmax'))\\n\",\n \"model.compile(optimizer='Adam',\\n\",\n \" loss='categorical_crossentropy',\\n\",\n \" metrics=['accuracy'])\\n\",\n \"model.fit(X1, y1, epochs=2000,batch_size=25)\"\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 22,\n \"metadata\": {},\n \"outputs\": [\n {\n \"data\": {\n \"text/plain\": [\n \"array([0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\\n\",\n \" 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1,\\n\",\n \" 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0])\"\n ]\n },\n \"execution_count\": 22,\n \"metadata\": {},\n \"output_type\": \"execute_result\"\n }\n ],\n \"source\": [\n \"model.predict_classes(X)\"\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 23,\n \"metadata\": {},\n \"outputs\": [\n {\n \"data\": {\n \"text/plain\": [\n \"array([[0., 0., 1.],\\n\",\n \" [0., 0., 1.],\\n\",\n \" [0., 0., 1.],\\n\",\n \" [0., 1., 0.],\\n\",\n \" [0., 0., 1.],\\n\",\n \" [1., 0., 0.],\\n\",\n \" [1., 0., 0.],\\n\",\n \" [0., 1., 0.],\\n\",\n \" [1., 0., 0.],\\n\",\n \" [0., 1., 0.],\\n\",\n \" [1., 0., 0.],\\n\",\n \" [1., 0., 0.],\\n\",\n \" [0., 0., 1.],\\n\",\n \" [0., 1., 0.],\\n\",\n \" [0., 0., 1.],\\n\",\n \" [0., 0., 1.],\\n\",\n \" [0., 0., 1.],\\n\",\n \" [0., 1., 0.],\\n\",\n \" [1., 0., 0.],\\n\",\n \" [0., 0., 1.],\\n\",\n \" [1., 0., 0.],\\n\",\n \" [1., 0., 0.],\\n\",\n \" [1., 0., 0.],\\n\",\n \" [0., 1., 0.],\\n\",\n \" [0., 1., 0.],\\n\",\n \" [0., 1., 0.],\\n\",\n \" [1., 0., 0.],\\n\",\n \" [1., 0., 0.],\\n\",\n \" [1., 0., 0.],\\n\",\n \" [1., 0., 0.],\\n\",\n \" [0., 1., 0.],\\n\",\n \" [1., 0., 0.],\\n\",\n \" [1., 0., 0.],\\n\",\n \" [0., 1., 0.],\\n\",\n \" [1., 0., 0.],\\n\",\n \" [1., 0., 0.],\\n\",\n \" [0., 0., 1.],\\n\",\n \" [1., 0., 0.],\\n\",\n \" [1., 0., 0.],\\n\",\n \" [1., 0., 0.],\\n\",\n \" [0., 1., 0.],\\n\",\n \" [0., 0., 1.],\\n\",\n \" [1., 0., 0.],\\n\",\n \" [0., 1., 0.],\\n\",\n \" [0., 0., 1.],\\n\",\n \" [0., 0., 1.],\\n\",\n \" [1., 0., 0.],\\n\",\n \" [0., 0., 1.],\\n\",\n \" [1., 0., 0.],\\n\",\n \" [1., 0., 0.],\\n\",\n \" [1., 0., 0.],\\n\",\n \" [1., 0., 0.],\\n\",\n \" [0., 1., 0.],\\n\",\n \" [0., 0., 1.],\\n\",\n \" [0., 0., 1.],\\n\",\n \" [0., 1., 0.]], dtype=float32)\"\n ]\n },\n \"execution_count\": 23,\n \"metadata\": {},\n \"output_type\": \"execute_result\"\n }\n ],\n \"source\": [\n \"y\"\n ]\n },\n {\n \"cell_type\": \"markdown\",\n \"metadata\": {},\n \"source\": [\n \"# It Works! Let's try it out and use our original Data as Test\\n\",\n \"\\n\",\n \"Finally, after giving it a once over, it looks like the data mostly matches. Let's ensure it's a perfect fit by using keras' `evaluate` to run a test.\"\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": null,\n \"metadata\": {},\n \"outputs\": [],\n \"source\": [\n \"model.test_on_batch(X, y)\"\n ]\n },\n {\n \"cell_type\": \"markdown\",\n \"metadata\": {},\n \"source\": [\n \"# Hooray! Let's save it now!\\n\",\n \"\\n\",\n \"We use keras' great built in function, `model.save` to save it to disk. \\n\",\n \"\\n\",\n \"In our program for inference, we'll use `keras.models.load_model(filepath)` to load it for deteting dab, tpose, or other.\"\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 24,\n \"metadata\": {},\n \"outputs\": [],\n \"source\": [\n \"model.save('data/dab-tpose-other.h5')\"\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 25,\n \"metadata\": {},\n \"outputs\": [],\n \"source\": [\n \"import keras\\n\",\n \"modello = keras.models.load_model('data/dab-tpose-other.h5')\"\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 26,\n \"metadata\": {},\n \"outputs\": [\n {\n \"data\": {\n \"text/plain\": [\n \"array([1, 1, 1, 1, 1, 1])\"\n ]\n },\n \"execution_count\": 26,\n \"metadata\": {},\n \"output_type\": \"execute_result\"\n }\n ],\n \"source\": [\n \"dabDataset = np.load('data/test-dabs.npy')\\n\",\n \"dabDataset[:,:,0] = dabDataset[:,:,0] / 720 # I think the dimensions are 1280 x 720 ?\\n\",\n \"dabDataset[:,:,1] = dabDataset[:,:,1] / 1280 # let's see?\\n\",\n \"dabDataset = dabDataset[:,:,:2]\\n\",\n \"dabDataset = dabDataset.reshape(len(dabDataset), 50)\\n\",\n \"modello.predict_classes(dabDataset)\"\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": null,\n \"metadata\": {},\n \"outputs\": [],\n \"source\": []\n }\n ],\n \"metadata\": {\n \"kernelspec\": {\n \"display_name\": \"Python 3\",\n \"language\": \"python\",\n \"name\": \"python3\"\n },\n \"language_info\": {\n \"codemirror_mode\": {\n \"name\": \"ipython\",\n \"version\": 3\n },\n \"file_extension\": \".py\",\n \"mimetype\": \"text/x-python\",\n \"name\": \"python\",\n \"nbconvert_exporter\": \"python\",\n \"pygments_lexer\": \"ipython3\",\n \"version\": \"3.6.8\"\n }\n },\n \"nbformat\": 4,\n \"nbformat_minor\": 2\n}\n" }, { "path": "README.md", "content": "# Dab and T-Pose Controlled Lights\n\nControl your lights by dabbing and t-pose'ing, duh\n\n[![Dab and T-Pose Controlled Lights](https://github.com/burningion/dab-and-tpose-controlled-lights/raw/master/images/dab-tpose.gif)](https://www.makeartwithpython.com/blog/dab-and-tpose-controlled-lights/)\n\nCheck out the full blog post [here](https://www.makeartwithpython.com/blog/dab-and-tpose-controlled-lights/).\n\n## Getting the ZWave Controller working on the TX2\n\nBy default, I couldn't write to the `/dev/ttyACM0` device that the ZWave USB controller came up on with my NVDIA Tegra TX2.\n\nYou'll need to do something along the following to get permissions:\n\n```bash\n$ sudoedit /etc/udev/rules.d/50-myusb.rules\n```\n\nFollowed by inserting the following lines to add perms to the `/dev/ttyUSB*` and `/dev/ttyACM*`:\n\n```\nKERNEL==\"ttyUSB[0-9]*\",MODE=\"0666\"\nKERNEL==\"ttyACM[0-9]*\",MODE=\"0666\"\n```\n\n## Getting an OpenPose Model running on the TX2\n\nThere are two ways, I started out by using the original [OpenPose](https://github.com/CMU-Perceptual-Computing-Lab/openpose) repo to get a build and proof of concept running.\n\nI got ~~probably half a frame~~ 1.4(ish) frames per second out of that. You can see how I initialize and use the built in devboard camera in the `01_body_from_image.py` file in this repo. That comes directly out of the included Python examples.\n\nBecause I wanted better response time, I ended up searching for a better model. I found [tf-pose-estimation](https://github.com/ildoonet/tf-pose-estimation).\n\nIt requires Tensorflow, so be sure to grab the latest Jetpack release from NVIDIA [here](https://developer.nvidia.com/embedded/downloads#?search=tensorflow) when installing.\n\nAfter that, it should run with the included `run_webcam.py`, just be sure to run it with the right model. Mobilenet_v2_large was the bare minimum for an acceptable detection for me:\n\n```bash\n$ python3 run_webcam.py --model=mobilenet_v2_large --resize=432x368\n```\n\nWith this model, I get 4(ish) frames per second on the TX2, much better for detection latency. I may try seeing if I can optimize further after getting a full proof of concept running.\n\n## Exploring OpenPose Data and Training a New Classifier\n\nWe'll use some saved examples of T-Poses and Dabs in order to train our classifier. You can see the Jupyter notebook [here](https://github.com/burningion/dab-and-tpose-controlled-lights/blob/master/Data%20Play.ipynb) with examples of labeling and converting our raw `npy` Numpy exports to CSVs and Pandas datasets, along with cleanup and training.\n\nThe current (working) architecture looks like this:\n\n![Dab and T-Pose Neural Network Architecture](https://github.com/burningion/dab-and-tpose-controlled-lights/raw/master/images/neural1.png)\n\n## Running the Project Itself\n\n![Dab and T-Pose Architecture](https://github.com/burningion/dab-and-tpose-controlled-lights/raw/master/images/dab-tpose.png)\n\nYou'll need to get OpenPose up and running, along with the Python libraries for OpenCV and ZWave. After that, you can use the included program, just run it under the `openpose/examples/tutorial_api_python` directory.\n\nIf you want to grab more example poses for retraining, just replace the `01_body_from_image.py` with the one included in this repo's `src/` directory.\n\n\n## Known bugs\n\nFor some reason, the model test I run on my original `X` and `y` dataset doesn't seem to work. I think I messed the data up somewhere along the way in the Jupyter Notebook. If you figure out where that happens, open a PR please. :)\n" }, { "path": "data/dabs.csv", "content": 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}, { "path": "src/01_body_from_image.py", "content": "import cv2\nimport pyopenpose as op\nfrom imutils import translate, rotate, resize\n\nimport time\nimport numpy as np\n\n# Custom Params (refer to include/openpose/flags.hpp for more parameters)\nparams = dict()\nparams[\"model_folder\"] = \"../../models/\"\n\nvs = cv2.VideoCapture(\"nvarguscamerasrc ! video/x-raw(memory:NVMM), width=(int)1280, height=(int)720,format=(string)NV12, framerate=(fraction)24/1 ! nvvidconv flip-method=0 ! video/x-raw, format=(string)BGRx ! videoconvert ! video/x-raw, format=(string)BGR ! appsink\")\n\n# Starting OpenPose\nopWrapper = op.WrapperPython()\nopWrapper.configure(params)\nopWrapper.start()\n\ndatum = op.Datum()\nnp.set_printoptions(precision=4)\n\ndabs = []\ntposes = []\nother = []\n\nfps_time = 0\n\nwhile True:\n ret_val, frame = vs.read()\n\n datum.cvInputData = frame\n opWrapper.emplaceAndPop([datum])\n\n # need to be able to see what's going on\n image = datum.cvOutputData\n cv2.putText(image,\n \"FPS: %f\" % (1.0 / (time.time() - fps_time)),\n (10, 10), cv2.FONT_HERSHEY_SIMPLEX, 0.5,\n (0, 255, 0), 2)\n \n cv2.imshow(\"Openpose\", image)\n fps_time = time.time()\n \n # quit with a q keypress, b or m to save data\n key = cv2.waitKey(1) & 0xFF\n if key == ord(\"q\"):\n break\n elif key == ord(\"b\"):\n print(\"Dab: \" + str(datum.poseKeypoints))\n dabs.append(datum.poseKeypoints[0])\n elif key == ord(\"m\"):\n print(\"TPose: \" + str(datum.poseKeypoints))\n tposes.append(datum.poseKeypoints[0])\n elif key == ord(\"/\"):\n print(\"Other: \" + str(datum.poseKeypoints))\n other.append(datum.poseKeypoints[0])\n\n# write our data as numpy binary files\n# for analysis later\n\ndabs = np.asarray(dabs)\ntposes = np.asarray(tposes)\nother = np.asarray(other)\n\nnp.save('dabs.npy', dabs)\nnp.save('tposes.npy', tposes)\nnp.save('other.npy', other)\n\n# clean up after yourself\nvs.release()\ncv2.destroyAllWindows()\n\n" }, { "path": "src/dab-tpose-controller.py", "content": "import cv2\nimport pyopenpose as op\nfrom imutils import translate, rotate, resize\n\nimport openzwave\nfrom openzwave.option import ZWaveOption\nfrom openzwave.network import ZWaveNetwork\n\n# make sure these commands get flushed by doing them first, then loading tensorflow...\n# tensorflow should take enough time to start for these commands to flush\noptions = ZWaveOption('/dev/ttyACM0')\noptions.lock()\n\nnetwork = ZWaveNetwork(options)\n\nimport time\nimport numpy as np\nnp.random.seed(1337)\n\nimport tensorflow as tf\n\n# make sure tensorflow doesn't take up all the gpu memory\nconf = tf.ConfigProto()\nconf.gpu_options.allow_growth=True\nsession = tf.Session(config=conf)\n\nimport keras\n\n# Custom Params (refer to include/openpose/flags.hpp for more parameters)\nparams = dict()\nparams[\"model_folder\"] = \"../../models/\"\n\n# built in TX2 video capture source\nvs = cv2.VideoCapture(\"nvarguscamerasrc ! video/x-raw(memory:NVMM), width=(int)1280, height=(int)720,format=(string)NV12, framerate=(fraction)24/1 ! nvvidconv flip-method=0 ! video/x-raw, format=(string)BGRx ! videoconvert ! video/x-raw, format=(string)BGR ! appsink\")\n\ntposer = keras.models.load_model('dab-tpose-other.h5')\n\n# Starting OpenPose\nopWrapper = op.WrapperPython()\nopWrapper.configure(params)\nopWrapper.start()\n\ndatum = op.Datum()\nnp.set_printoptions(precision=4)\n\nfps_time = 0\n\nDAB = 1\nTPOSE = 2\nOTHER = 0\n\nLIGHTS = 0\n\nbounced = time.time()\ndebounce = 3 # wait 3 seconds before allowing another command\n\nwhile True:\n ret_val, frame = vs.read()\n\n datum.cvInputData = frame\n opWrapper.emplaceAndPop([datum])\n\n # need to be able to see what's going on\n image = datum.cvOutputData\n cv2.putText(image,\n \"FPS: %f\" % (1.0 / (time.time() - fps_time)),\n (10, 20), cv2.FONT_HERSHEY_SIMPLEX, 0.5,\n (0, 255, 0), 2)\n \n cv2.imshow(\"Openpose\", image)\n\n if datum.poseKeypoints.any():\n first_input = datum.poseKeypoints\n try:\n first_input[:,:,0] = first_input[:,:,0] / 720\n first_input[:,:,1] = first_input[:,:,1] / 1280\n first_input = first_input[:,:,1:]\n first_input = first_input.reshape(len(datum.poseKeypoints), 50)\n except:\n continue\n\n output = tposer.predict_classes(first_input)\n for j in output:\n if j == 1:\n print(\"dab detected\")\n if LIGHTS == 0 or (time.time() - bounced) < debounce:\n continue\n for node in network.nodes:\n for val in network.nodes[node].get_switches():\n network.nodes[node].set_switch(val, False)\n LIGHTS = 0\n bounced = time.time()\n elif j == 2:\n print(\"tpose detected\")\n if LIGHTS == 1 or (time.time() - bounced) < debounce:\n continue\n for node in network.nodes:\n for val in network.nodes[node].get_switches():\n network.nodes[node].set_switch(val, True)\n LIGHTS = 1\n bounced = time.time()\n\n fps_time = time.time()\n \n # quit with a q keypress, b or m to save data\n key = cv2.waitKey(1) & 0xFF\n if key == ord(\"q\"):\n break\n\n# clean up after yourself\nvs.release()\ncv2.destroyAllWindows()\n\n" }, { "path": "src/run_webcam.py", "content": "import argparse\nimport logging\nimport time\n\nimport cv2\nimport numpy as np\n\nfrom tf_pose.estimator import TfPoseEstimator\nfrom tf_pose.networks import get_graph_path, model_wh\n\nlogger = logging.getLogger('TfPoseEstimator-WebCam')\nlogger.setLevel(logging.DEBUG)\nch = logging.StreamHandler()\nch.setLevel(logging.DEBUG)\nformatter = logging.Formatter('[%(asctime)s] [%(name)s] [%(levelname)s] %(message)s')\nch.setFormatter(formatter)\nlogger.addHandler(ch)\n\nfps_time = 0\n\n\nif __name__ == '__main__':\n parser = argparse.ArgumentParser(description='tf-pose-estimation realtime webcam')\n parser.add_argument('--camera', type=int, default=0)\n\n parser.add_argument('--resize', type=str, default='0x0',\n help='if provided, resize images before they are processed. default=0x0, Recommends : 432x368 or 656x368 or 1312x736 ')\n parser.add_argument('--resize-out-ratio', type=float, default=4.0,\n help='if provided, resize heatmaps before they are post-processed. default=1.0')\n\n parser.add_argument('--model', type=str, default='mobilenet_thin', help='cmu / mobilenet_thin / mobilenet_v2_large / mobilenet_v2_small')\n parser.add_argument('--show-process', type=bool, default=False,\n help='for debug purpose, if enabled, speed for inference is dropped.')\n args = parser.parse_args()\n\n logger.debug('initialization %s : %s' % (args.model, get_graph_path(args.model)))\n w, h = model_wh(args.resize)\n if w > 0 and h > 0:\n e = TfPoseEstimator(get_graph_path(args.model), target_size=(w, h))\n else:\n e = TfPoseEstimator(get_graph_path(args.model), target_size=(432, 368))\n logger.debug('cam read+')\n cam = cv2.VideoCapture(\"nvarguscamerasrc ! video/x-raw(memory:NVMM), width=(int)1280, height=(int)720, format=(string)NV12, framerate=(fraction)24/1 ! nvvidconv flip-method=0 ! video/x-raw, format=(string)BGRx ! videoconvert ! video/x-raw, format=(string)BGR ! appsink\")\n ret_val, image = cam.read()\n logger.info('cam image=%dx%d' % (image.shape[1], image.shape[0]))\n\n while True:\n ret_val, image = cam.read()\n\n logger.debug('image process+')\n humans = e.inference(image, resize_to_default=(w > 0 and h > 0), upsample_size=args.resize_out_ratio)\n\n logger.debug('postprocess+')\n image = TfPoseEstimator.draw_humans(image, humans, imgcopy=False)\n\n logger.debug('show+')\n cv2.putText(image,\n \"FPS: %f\" % (1.0 / (time.time() - fps_time)),\n (10, 10), cv2.FONT_HERSHEY_SIMPLEX, 0.5,\n (0, 255, 0), 2)\n cv2.imshow('tf-pose-estimation result', image)\n fps_time = time.time()\n if cv2.waitKey(1) == 27:\n break\n logger.debug('finished+')\n\n cv2.destroyAllWindows()\n" }, { "path": "src/trigger-lights.py", "content": "import time\n\nimport openzwave\nfrom openzwave.option import ZWaveOption\nfrom openzwave.network import ZWaveNetwork\n\n\noptions = ZWaveOption('/dev/ttyACM0')\noptions.lock()\n\nnetwork = ZWaveNetwork(options)\n# added sleeps here to make sure these commands get flushed\ntime.sleep(2)\nfor node in network.nodes:\n for val in network.nodes[node].get_switches():\n network.nodes[node].set_switch(val, True)\n time.sleep(5)\n network.nodes[node].set_switch(val, False)\ntime.sleep(2)\n" } ]