def LSTM_sequence_classifer_net(input, num_output_classes, embedding_dim, LSTM_dim, cell_dim):
embedding_function = embedding(input, embedding_dim)
LSTM_function = LSTMP_component_with_self_stabilization(
embedding_function.output(), LSTM_dim, cell_dim)[0]
thought_vector = select_last(LSTM_function)
return linear_layer(thought_vector, num_output_classes)
def LSTM_sequence_classifer_net(input, num_output_classes, embedding_dim,
LSTM_dim, cell_dim, device):
embedding_function = embedding(input, embedding_dim, device)
LSTM_function = LSTMP_component_with_self_stabilization(
embedding_function, LSTM_dim, cell_dim, device)
thought_vector = select_last(LSTM_function)
return fully_connected_linear_layer(thought_vector, num_output_classes,
device)