SYMBOL INDEX (24 symbols across 10 files)

FILE: sparse-coding/cnn_ae_sparsity.py
  function _phase_shift (line 9) | def _phase_shift(I, r):
  function PS (line 21) | def PS(X, r, color=False):

FILE: tf-architecture/archi/main.py
  function main (line 50) | def main(_):

FILE: tf-architecture/archi/models/__init__.py
  function make_model (line 9) | def make_model(config, env):
  function get_model_class (line 15) | def get_model_class(config):

FILE: tf-architecture/archi/models/basic_model.py
  class BasicAgent (line 4) | class BasicAgent(object):
    method __init__ (line 6) | def __init__(self, config):
    method set_agent_props (line 59) | def set_agent_props(self):
    method get_best_config (line 64) | def get_best_config(self):
    method get_random_config (line 70) | def get_random_config(fixed_params={}):
    method build_graph (line 75) | def build_graph(self, graph):
    method infer (line 78) | def infer(self):
    method learn_from_epoch (line 81) | def learn_from_epoch(self):
    method train (line 85) | def train(self, save_every=1):
    method save (line 94) | def save(self):
    method init (line 111) | def init(self):
    method infer (line 124) | def infer(self):

FILE: tf-freeze/freeze.py
  function freeze_graph (line 8) | def freeze_graph(model_folder):

FILE: tf-freeze/load.py
  function load_graph (line 5) | def load_graph(frozen_graph_filename):

FILE: tf-freeze/server.py
  function predict (line 15) | def predict():

FILE: tf-mut-control/dyn_array.py
  function update_embed_func (line 32) | def update_embed_func():

FILE: tf-save-load/embedding.py
  function batch_text (line 8) | def batch_text(corpus, batch_size, seq_length):

FILE: tf-uat/universal.py
  function univAprox (line 13) | def univAprox(x, N=50, phi=tf.nn.elu, reuse=False): # First trick: the r...
  function func_to_approx (line 29) | def func_to_approx(x):