SYMBOL INDEX (130 symbols across 27 files)

FILE: Quora_questions_similar/CNN_Question_pair.py
  function text_to_wordlist (line 84) | def text_to_wordlist(text, remove_stop_words=True, stem_words=False):
  function process_questions (line 168) | def process_questions(question_list, questions, question_list_name, data...

FILE: Quora_questions_similar/lstm_embedding.py
  function text_to_wordlist (line 82) | def text_to_wordlist(text, remove_stopwords=False, stem_words=False):

FILE: TensorFlow_Examples/labs/02_recommendation/solutions/deep_implicit_feedback_recsys.py
  function make_interaction_mlp (line 6) | def make_interaction_mlp(input_dim, n_hidden=1, hidden_size=64,
  function build_models (line 27) | def build_models(n_users, n_items, user_dim=32, item_dim=64,

FILE: TensorFlow_Examples/labs/02_recommendation/solutions/similarity.py
  function cosine (line 3) | def cosine(x, y):
  function cosine_similarities (line 9) | def cosine_similarities(x):
  function euclidean_distances (line 15) | def euclidean_distances(x):
  function most_similar (line 19) | def most_similar(idx, top_n=10, mode='euclidean'):

FILE: TensorFlow_Examples/labs/03_conv_nets/cifar10_input.py
  function read_cifar10 (line 38) | def read_cifar10(filename_queue):
  function _generate_image_and_label_batch (line 101) | def _generate_image_and_label_batch(image, label, min_queue_examples,
  function distorted_inputs (line 140) | def distorted_inputs(data_dir, batch_size):
  function inputs (line 203) | def inputs(eval_data, data_dir, batch_size, max_files=5, raw_images=False):

FILE: TensorFlow_Examples/labs/03_conv_nets/solutions/average_as_conv.py
  function conv (line 4) | def conv(x, k):

FILE: TensorFlow_Examples/labs/03_conv_nets/solutions/edge_detection.py
  function conv (line 4) | def conv(x, k):

FILE: TensorFlow_Examples/labs/03_conv_nets/solutions/strides_padding.py
  function conv (line 4) | def conv(x, k):
  function conv_valid (line 9) | def conv_valid(x, k):

FILE: TensorFlow_Examples/labs/04_seq2seq/french_numbers.py
  function to_french_phrase (line 74) | def to_french_phrase(number, is_units=True):
  function generate_translations (line 139) | def generate_translations(low=1, high=int(1e6) - 1, exhaustive=int(1e4),
  function prepare_datasets (line 171) | def prepare_datasets(data_dir, low=0, high=int(1e6) - 1,
  function tokenize (line 224) | def tokenize(sentence, word_level=True):
  function save_sentences (line 231) | def save_sentences(sentences, vocab, token_filename, text_filename,
  function save_vocabulary (line 247) | def save_vocabulary(rev_vocab, filename, encoding='utf-8'):
  function load_vocabulary (line 254) | def load_vocabulary(filename, encoding='utf-8'):
  function build_vocabulary (line 264) | def build_vocabulary(sentences, word_level=True):
  function sentence_to_token_ids (line 295) | def sentence_to_token_ids(sentence, vocabulary, word_level=True):
  function token_ids_to_sentence (line 315) | def token_ids_to_sentence(token_ids, rev_vocabulary, word_level=True):

FILE: TensorFlow_Examples/labs/04_seq2seq/solutions/beam_search.py
  function beam_translate (line 1) | def beam_translate(model, source_sequence, shared_vocab, rev_shared_vocab,

FILE: TensorFlow_Examples/labs/04_seq2seq/solutions/make_input_output.py
  function make_input_output (line 1) | def make_input_output(source_tokens, target_tokens, reverse_source=True):

FILE: TensorFlow_Examples/labs/04_seq2seq/translate.py
  function read_data (line 85) | def read_data(source_path, target_path, max_size=None):
  function create_model (line 126) | def create_model(session, source_vocab_size, target_vocab_size,
  function train (line 152) | def train():
  function decode (line 247) | def decode():
  function self_test (line 299) | def self_test():
  function main (line 321) | def main(_):

FILE: TensorFlow_Examples/slides/02_recommender_systems/images/make_dropout_curves.py
  function make_curves (line 18) | def make_curves(random_state=42):

FILE: TensorFlow_Examples/slides/06_expressivity_optimization_generalization/images/make_mini_mlp_loss_figures.py
  function relu (line 18) | def relu(x):
  function mini_mlp (line 22) | def mini_mlp(x, w1, w2):
  function dloss_mini_mlp (line 26) | def dloss_mini_mlp(x, y, w1, w2):

FILE: TensorFlow_Examples/slides/06_expressivity_optimization_generalization/images/make_relu_approx_figures.py
  function relu (line 9) | def relu(x):
  function rect (line 13) | def rect(x, a=1, b=2, h=2, eps=1e-7):

FILE: TensorFlow_Examples/slides/06_expressivity_optimization_generalization/images/make_relu_composition_figures.py
  function relu (line 9) | def relu(x):
  function tri (line 13) | def tri(x):

FILE: TensorFlow_Examples/slides/06_expressivity_optimization_generalization/images/random_relu_surface.py
  function weight_init (line 11) | def weight_init(n_in, n_out):
  function bias_init (line 15) | def bias_init(n):

FILE: Workshop/sessions/detection/ssd_keras/PASCAL_VOC/get_data_from_XML.py
  class XML_preprocessor (line 5) | class XML_preprocessor(object):
    method __init__ (line 7) | def __init__(self, data_path):
    method _preprocess_XML (line 13) | def _preprocess_XML(self):
    method _to_one_hot (line 40) | def _to_one_hot(self,name):

FILE: Workshop/sessions/detection/ssd_keras/ssd.py
  function SSD300 (line 23) | def SSD300(input_shape, num_classes=21,weights=None):

FILE: Workshop/sessions/detection/ssd_keras/ssd_layers.py
  class Normalize (line 10) | class Normalize(Layer):
    method __init__ (line 31) | def __init__(self, scale, **kwargs):
    method build (line 39) | def build(self, input_shape):
    method call (line 46) | def call(self, x, mask=None):
  class PriorBox (line 52) | class PriorBox(Layer):
    method __init__ (line 82) | def __init__(self, img_size, min_size, max_size=None, aspect_ratios=None,
    method get_output_shape_for (line 111) | def get_output_shape_for(self, input_shape):
    method call (line 118) | def call(self, x, mask=None):

FILE: Workshop/sessions/detection/ssd_keras/ssd_training.py
  class MultiboxLoss (line 6) | class MultiboxLoss(object):
    method __init__ (line 23) | def __init__(self, num_classes, alpha=1.0, neg_pos_ratio=3.0,
    method _l1_smooth_loss (line 33) | def _l1_smooth_loss(self, y_true, y_pred):
    method _softmax_loss (line 53) | def _softmax_loss(self, y_true, y_pred):
    method compute_loss (line 70) | def compute_loss(self, y_true, y_pred):

FILE: Workshop/sessions/detection/ssd_keras/ssd_utils.py
  class BBoxUtility (line 13) | class BBoxUtility(object):
    method __init__ (line 28) | def __init__(self, num_classes, priors=None, overlap_threshold=0.5,
    method nms_thresh (line 44) | def nms_thresh(self):
    method nms_thresh (line 48) | def nms_thresh(self, value):
    method top_k (line 55) | def top_k(self):
    method top_k (line 59) | def top_k(self, value):
    method iou (line 65) | def iou(self, box):
    method encode_box (line 90) | def encode_box(self, box, return_iou=True):
    method assign_boxes (line 124) | def assign_boxes(self, boxes):
    method decode_boxes (line 159) | def decode_boxes(self, mbox_loc, mbox_priorbox, variances):
    method detection_out (line 193) | def detection_out(self, predictions, background_label_id=0, keep_top_k...
  class Generator (line 243) | class Generator(object):
    method __init__ (line 244) | def __init__(self, gt, bbox_util,
    method grayscale (line 282) | def grayscale(self, rgb):
    method saturation (line 285) | def saturation(self, rgb):
    method brightness (line 292) | def brightness(self, rgb):
    method contrast (line 298) | def contrast(self, rgb):
    method lighting (line 305) | def lighting(self, img):
    method horizontal_flip (line 313) | def horizontal_flip(self, img, y):
    method vertical_flip (line 319) | def vertical_flip(self, img, y):
    method random_sized_crop (line 325) | def random_sized_crop(self, img, targets):
    method generate (line 375) | def generate(self, train=True):

FILE: Workshop/sessions/dream.py
  function preprocess_image (line 9) | def preprocess_image(image_path,img_height,img_width):
  function deprocess_image (line 17) | def deprocess_image(x,img_height,img_width):
  function continuity_loss (line 32) | def continuity_loss(x,img_height,img_width):
  function eval_loss_and_grads (line 41) | def eval_loss_and_grads(x,img_size,f_outputs):
  class Evaluator (line 59) | class Evaluator(object):
    method __init__ (line 61) | def __init__(self,img_size,f_outputs):
    method loss (line 67) | def loss(self, x):
    method grads (line 75) | def grads(self, x):

FILE: Workshop/sessions/style.py
  function preprocess_image (line 14) | def preprocess_image(image_path,img_nrows,img_ncols):
  function deprocess_image (line 22) | def deprocess_image(x,img_nrows,img_ncols):
  function gram_matrix (line 34) | def gram_matrix(x):
  function style_loss (line 50) | def style_loss(style, combination,img_nrows,img_ncols):
  function content_loss (line 62) | def content_loss(base, combination):
  function total_variation_loss (line 68) | def total_variation_loss(x,img_nrows,img_ncols):
  function eval_loss_and_grads (line 76) | def eval_loss_and_grads(x,img_nrows,img_ncols,f_outputs):
  class Evaluator (line 96) | class Evaluator(object):
    method __init__ (line 98) | def __init__(self,img_nrows,img_ncols,f_outputs):
    method loss (line 105) | def loss(self, x):
    method grads (line 114) | def grads(self, x):

FILE: Workshop/sessions/tracking/sort.py
  function iou (line 31) | def iou(bb_test,bb_gt):
  function convert_bbox_to_z (line 46) | def convert_bbox_to_z(bbox):
  function convert_x_to_bbox (line 60) | def convert_x_to_bbox(x,score=None):
  class KalmanBoxTracker (line 73) | class KalmanBoxTracker(object):
    method __init__ (line 79) | def __init__(self,bbox):
    method update (line 104) | def update(self,bbox):
    method predict (line 114) | def predict(self):
    method get_state (line 128) | def get_state(self):
  function associate_detections_to_trackers (line 134) | def associate_detections_to_trackers(detections,trackers,iou_threshold =...
  class Sort (line 175) | class Sort(object):
    method __init__ (line 176) | def __init__(self,max_age=1,min_hits=3):
    method update (line 185) | def update(self,dets):

FILE: Workshop/sessions/utils.py
  function plot_confusion_matrix (line 6) | def plot_confusion_matrix(cm, classes,
  function plot_samples (line 40) | def plot_samples(X_train,N=5):
  function plot_curves (line 62) | def plot_curves(history,nb_epoch):
  function deprocess_image (line 86) | def deprocess_image(x):
  function normalize (line 103) | def normalize(x):

FILE: keras_FNN_BitTiger.py
  function PreprocessDataset (line 56) | def PreprocessDataset():
  function DefineModel (line 157) | def DefineModel():
  function TrainModel (line 289) | def TrainModel(data=None, epochs=20):
  function PlotHistory (line 327) | def PlotHistory(train_value, test_value, value_is_loss_or_acc):
  function drawWeightHistogram (line 352) | def drawWeightHistogram(x):
  function TestModel (line 374) | def TestModel(model=None, data=None):
  function ShowInputImage (line 397) | def ShowInputImage(data):
  function ShowHiddenLayerOutput (line 406) | def ShowHiddenLayerOutput(input_data, target_layer_num):
  function ShowFinalOutput (line 420) | def ShowFinalOutput(input_data):