Function gru2

nlp_class3/simple_rnn_test.py:65–73

()

def gru2():
  input_ = Input(shape=(T, D))
  rnn = GRU(M, return_state=True, return_sequences=True)
  x = rnn(input_)

  model = Model(inputs=input_, outputs=x)
  o, h = model.predict(X)
  print("o:", o)
  print("h:", h)