我正在使用 Keras 1.0。我的问题与这个问题相同(如何在 Keras 中实现平均池化层),但那里的答案对我来说似乎还不够。
以下代码不起作用:
sequence = Input(shape=(max_sent_len,), dtype='int32')
embedded = Embedding(vocab_size, word_embedding_size)(sequence)
lstm = LSTM(hidden_state_size, activation='sigmoid', inner_activation='hard_sigmoid', return_sequences=True)(embedded)
pool = AveragePooling1D()(lstm)
output = Dense(1, activation='sigmoid')(pool)
如果我不设置return_sequences=True
,我在调用时会收到此错误AveragePooling1D()
:
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/PATH/keras/engine/topology.py", line 462, in __call__
self.assert_input_compatibility(x)
File "/PATH/keras/engine/topology.py", line 382, in assert_input_compatibility
str(K.ndim(x)))
Exception: ('Input 0 is incompatible with layer averagepooling1d_6: expected ndim=3', ' found ndim=2')
否则,我在调用时会收到此错误Dense()
:
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/PATH/keras/engine/topology.py", line 456, in __call__
self.build(input_shapes[0])
File "/fs/clip-arqat/mossaab/trec/liveqa/cmu/venv/lib/python2.7/site-packages/keras/layers/core.py", line 512, in build
assert len(input_shape) == 2
AssertionError