Function lstm2

nlp_class3/simple_rnn_test.py:41–51

()

def lstm2():
  input_ = Input(shape=(T, D))
  rnn = LSTM(M, return_state=True, return_sequences=True)
  # rnn = GRU(M, return_state=True)
  x = rnn(input_)

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


def gru1():