def build_decoder(self):
inputs = Input(shape=(self.hidden_dim, ))
repeat = RepeatVector(self.max_sequence_len)(inputs)
lstm_layer = GRU(self.hidden_dim, return_sequences=True)
hidden_rep = lstm_layer(repeat)
time_dist_dense_layer = TimeDistributed(
Dense(self.vocab_size, activation='softmax'))
outputs = time_dist_dense_layer(hidden_rep)
lstm_layer.set_weights(
[self.sequence_autoencoder.layers[4].get_weights()])
time_dist_dense_layer.set_weights(
[self.sequence_autoencoder.layers[5].get_weights()])
decoder = Model(inputs, outputs)
decoder.summary()
return decoder
