from paddle.trainer_config_helpers import * WORD_DIM = 3000 sentence = data_layer(name='sentence', size=WORD_DIM) sentence_embedding = embedding_layer( input=sentence, size=64, param_attr=ParameterAttribute( initial_max=1.0, initial_min=0.5)) lstm = simple_lstm(input=sentence_embedding, size=64) lstm_last = last_seq(input=lstm) outputs(fc_layer(input=lstm_last, size=2, act=SoftmaxActivation()))
