SYMBOL INDEX (108 symbols across 53 files)

FILE: basic/29_zip_lambda_map.py
  function f1 (line 16) | def f1(x,y):

FILE: kerasTUT/8-RNN_LSTM_Regressor_example.py
  function get_batch (line 32) | def get_batch():

FILE: matplotlibTUT/plt12_contours.py
  function f (line 17) | def f(x,y):

FILE: matplotlibTUT/plt19_animation.py
  function animate (line 28) | def animate(i):
  function init (line 34) | def init():

FILE: multiprocessingTUT/multiprocessing3_queue.py
  function job (line 8) | def job(q):

FILE: multiprocessingTUT/multiprocessing4_efficiency_comparison.py
  function job (line 10) | def job(q):
  function multicore (line 16) | def multicore():
  function normal (line 28) | def normal():
  function multithread (line 35) | def multithread():

FILE: multiprocessingTUT/multiprocessing5_pool.py
  function job (line 8) | def job(x):
  function multicore (line 11) | def multicore():

FILE: multiprocessingTUT/multiprocessing7_lock.py
  function job (line 9) | def job(v, num, l):
  function multicore (line 17) | def multicore():

FILE: tensorflowTUT/tensorflow10_def_add_layer.py
  function add_layer (line 13) | def add_layer(inputs, in_size, out_size, activation_function=None):

FILE: tensorflowTUT/tensorflow11_build_network.py
  function add_layer (line 13) | def add_layer(inputs, in_size, out_size, activation_function=None):

FILE: tensorflowTUT/tensorflow12_plut_result.py
  function add_layer (line 14) | def add_layer(inputs, in_size, out_size, activation_function=None):

FILE: tensorflowTUT/tf11_build_network/full_code.py
  function add_layer (line 14) | def add_layer(inputs, in_size, out_size, activation_function=None):

FILE: tensorflowTUT/tf12_plot_result/full_code.py
  function add_layer (line 14) | def add_layer(inputs, in_size, out_size, activation_function=None):

FILE: tensorflowTUT/tf14_tensorboard/full_code.py
  function add_layer (line 13) | def add_layer(inputs, in_size, out_size, activation_function=None):

FILE: tensorflowTUT/tf15_tensorboard/full_code.py
  function add_layer (line 14) | def add_layer(inputs, in_size, out_size, n_layer, activation_function=No...

FILE: tensorflowTUT/tf16_classification/full_code.py
  function add_layer (line 15) | def add_layer(inputs, in_size, out_size, activation_function=None,):
  function compute_accuracy (line 26) | def compute_accuracy(v_xs, v_ys):

FILE: tensorflowTUT/tf17_dropout/full_code.py
  function add_layer (line 23) | def add_layer(inputs, in_size, out_size, layer_name, activation_function...

FILE: tensorflowTUT/tf18_CNN2/full_code.py
  function compute_accuracy (line 15) | def compute_accuracy(v_xs, v_ys):
  function weight_variable (line 23) | def weight_variable(shape):
  function bias_variable (line 27) | def bias_variable(shape):
  function conv2d (line 31) | def conv2d(x, W):
  function max_pool_2x2 (line 36) | def max_pool_2x2(x):

FILE: tensorflowTUT/tf18_CNN3/full_code.py
  function compute_accuracy (line 15) | def compute_accuracy(v_xs, v_ys):
  function weight_variable (line 23) | def weight_variable(shape):
  function bias_variable (line 27) | def bias_variable(shape):
  function conv2d (line 31) | def conv2d(x, W):
  function max_pool_2x2 (line 36) | def max_pool_2x2(x):

FILE: tensorflowTUT/tf20_RNN2.2/full_code.py
  function get_batch (line 25) | def get_batch():
  class LSTMRNN (line 38) | class LSTMRNN(object):
    method __init__ (line 39) | def __init__(self, n_steps, input_size, output_size, cell_size, batch_...
    method add_input_layer (line 59) | def add_input_layer(self,):
    method add_cell (line 71) | def add_cell(self):
    method add_output_layer (line 78) | def add_output_layer(self):
    method compute_cost (line 87) | def compute_cost(self):
    method ms_error (line 104) | def ms_error(labels, logits):
    method _weight_variable (line 107) | def _weight_variable(self, shape, name='weights'):
    method _bias_variable (line 111) | def _bias_variable(self, shape, name='biases'):

FILE: tensorflowTUT/tf20_RNN2/full_code.py
  function RNN (line 50) | def RNN(X, weights, biases):

FILE: tensorflowTUT/tf21_autoencoder/full_code.py
  function encoder (line 47) | def encoder(x):
  function decoder (line 58) | def decoder(x):

FILE: tensorflowTUT/tf22_scope/tf22_RNN_scope.py
  class TrainConfig (line 8) | class TrainConfig:
  class TestConfig (line 17) | class TestConfig(TrainConfig):
  class RNN (line 21) | class RNN(object):
    method __init__ (line 23) | def __init__(self, config):
    method _built_RNN (line 32) | def _built_RNN(self):
    method ms_error (line 84) | def ms_error(y_target, y_pre):
    method _weight_variable (line 88) | def _weight_variable(shape, name='weights'):
    method _bias_variable (line 93) | def _bias_variable(shape, name='biases'):

FILE: tensorflowTUT/tf23_BN/tf23_BN.py
  function fix_seed (line 23) | def fix_seed(seed=1):
  function plot_his (line 29) | def plot_his(inputs, inputs_norm):
  function built_net (line 53) | def built_net(xs, ys, norm):

FILE: theanoTUT/theano10_regression_visualization/for_you_to_practice.py
  class Layer (line 17) | class Layer(object):
    method __init__ (line 18) | def __init__(self, inputs, in_size, out_size, activation_function=None):

FILE: theanoTUT/theano10_regression_visualization/full_code.py
  class Layer (line 17) | class Layer(object):
    method __init__ (line 18) | def __init__(self, inputs, in_size, out_size, activation_function=None):

FILE: theanoTUT/theano11_classification_nn/for_you_to_practice.py
  function compute_accuracy (line 15) | def compute_accuracy(y_target, y_predict):

FILE: theanoTUT/theano11_classification_nn/full_code.py
  function compute_accuracy (line 15) | def compute_accuracy(y_target, y_predict):

FILE: theanoTUT/theano12_regularization/for_you_to_practice.py
  class Layer (line 17) | class Layer(object):
    method __init__ (line 18) | def __init__(self, inputs, in_size, out_size, activation_function=None):
  function minmax_normalization (line 29) | def minmax_normalization(data):

FILE: theanoTUT/theano12_regularization/full_code.py
  class Layer (line 18) | class Layer(object):
    method __init__ (line 19) | def __init__(self, inputs, in_size, out_size, activation_function=None):
  function minmax_normalization (line 30) | def minmax_normalization(data):

FILE: theanoTUT/theano13_save/for_you_to_practice.py
  function compute_accuracy (line 16) | def compute_accuracy(y_target, y_predict):

FILE: theanoTUT/theano13_save/full_code.py
  function compute_accuracy (line 16) | def compute_accuracy(y_target, y_predict):

FILE: theanoTUT/theano3_what_does_ML_do.py
  class Layer (line 17) | class Layer(object):
    method __init__ (line 18) | def __init__(self, inputs, in_size, out_size, activation_function=None):

FILE: theanoTUT/theano8_Layer_class.py
  class Layer (line 16) | class Layer(object):
    method __init__ (line 17) | def __init__(self, inputs, in_size, out_size, activation_function=None):

FILE: theanoTUT/theano9_regression_nn/for_you_to_practice.py
  class Layer (line 17) | class Layer(object):
    method __init__ (line 18) | def __init__(self, inputs, in_size, out_size, activation_function=None):

FILE: theanoTUT/theano9_regression_nn/full_code.py
  class Layer (line 17) | class Layer(object):
    method __init__ (line 18) | def __init__(self, inputs, in_size, out_size, activation_function=None):

FILE: threadingTUT/thread2_add_thread.py
  function thread_job (line 13) | def thread_job():
  function main (line 16) | def main():

FILE: threadingTUT/thread3_join.py
  function thread_job (line 8) | def thread_job():
  function T2_job (line 14) | def T2_job():
  function main (line 18) | def main():

FILE: threadingTUT/thread4_queue.py
  function job (line 10) | def job(l,q):
  function multithreading (line 15) | def multithreading():

FILE: threadingTUT/thread5_GIL.py
  function job (line 11) | def job(l, q):
  function multithreading (line 15) | def multithreading(l):
  function normal (line 28) | def normal(l):

FILE: threadingTUT/thread6_lock.py
  function job1 (line 8) | def job1():
  function job2 (line 16) | def job2():

FILE: tkinterTUT/tk11_msgbox.py
  function hit_me (line 13) | def hit_me():

FILE: tkinterTUT/tk13_login_example/tk13_login_example.py
  function usr_login (line 30) | def usr_login():
  function usr_sign_up (line 32) | def usr_sign_up():

FILE: tkinterTUT/tk14_login_example/tk14_login_example.py
  function usr_login (line 31) | def usr_login():
  function usr_sign_up (line 52) | def usr_sign_up():

FILE: tkinterTUT/tk15_login_example/tk15_login_example.py
  function usr_login (line 32) | def usr_login():
  function usr_sign_up (line 53) | def usr_sign_up():

FILE: tkinterTUT/tk2_label_button.py
  function hit_me (line 19) | def hit_me():

FILE: tkinterTUT/tk3_entry_text.py
  function insert_point (line 15) | def insert_point():
  function insert_end (line 18) | def insert_end():

FILE: tkinterTUT/tk4_listbox.py
  function print_selection (line 16) | def print_selection():

FILE: tkinterTUT/tk5_radiobutton.py
  function print_selection (line 16) | def print_selection():

FILE: tkinterTUT/tk6_scale.py
  function print_selection (line 15) | def print_selection(v):

FILE: tkinterTUT/tk7_checkbutton.py
  function print_selection (line 15) | def print_selection():

FILE: tkinterTUT/tk8_canvas.py
  function moveit (line 22) | def moveit():

FILE: tkinterTUT/tk9_menubar.py
  function do_job (line 15) | def do_job():