ericjang

def sample_gumbel(shape, eps=1e-20): 
  """Sample from Gumbel(0, 1)"""
  U = tf.random_uniform(shape,minval=0,maxval=1)
  return -tf.log(-tf.log(U + eps) + eps)

def gumbel_softmax_sample(logits, temperature): 
  """ Draw a sample from the Gumbel-Softmax distribution"""
  y = logits + sample_gumbel(tf.shape(logits))
  return tf.nn.softmax( y / temperature)

dmmiller612

from keras.layers.core import Permute
from keras.layers import Dense, Activation, RepeatVector, merge,Flatten, TimeDistributed, Input
from keras.layers import Embedding, LSTM
from keras.models import Model

hidden = 225

features = get_features()
outputs = get_outputs()