我试图修改keras的lstm_seq2seq.py示例,将其修改为双向lstm模型.
https://github.com/keras-team/keras/blob/master/examples/lstm_seq2seq.py
我尝试了不同的方法:
第一个是直接将双向包装器应用于LSTM层:
encoder_inputs = Input(shape=(None, num_encoder_tokens))
encoder = Bidirectional(LSTM(latent_dim, return_state=True))
但我收到此错误消息:
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-76-a80f8554ab09> in <module>()
75 encoder = Bidirectional(LSTM(latent_dim, return_state=True))
76
---> 77 encoder_outputs, state_h, state_c = encoder(encoder_inputs)
78 # We discard `encoder_outputs` and only keep the states.
79 encoder_states = [state_h, state_c]
/home/tristanbf/.virtualenvs/pydev3/lib/python3.5/site-packages/keras/engine/topology.py in __call__(self, inputs, **kwargs)
601
602 # Actually call the layer, collecting output(s), mask(s), and shape(s).
--> 603 output = self.call(inputs, **kwargs)
604 output_mask = self.compute_mask(inputs, previous_mask)
605 …