def LSTM_sequence_classifer_net(input, num_output_classes, embedding_dim,
LSTM_dim, cell_dim):
embedded_inputs = embedding(input, embedding_dim)
lstm_outputs = simple_lstm(embedded_inputs, LSTM_dim, cell_dim)[0]
thought_vector = sequence.last(lstm_outputs)
return linear_layer(thought_vector, num_output_classes)
def LSTM_sequence_classifer_net(input, num_output_classes, embedding_dim,
LSTM_dim, cell_dim):
embedded_inputs = embedding(input, embedding_dim)
lstm_outputs = simple_lstm(embedded_inputs, LSTM_dim, cell_dim)[0]
thought_vector = sequence.last(lstm_outputs)
return linear_layer(thought_vector, num_output_classes)