我试着用基于keras tensorflow的卷积神经网络训练我的网络这是我的代码我在函数编译时出错了,但我不知道为什么
model = Sequential() # or Graph or whatever
model.add(Embedding(input_dim = n_symbols + 1,
output_dim = vocab_dim,
input_length=maxlen,
dropout=0.2))
# we add a Convolution1D, which will learn nb_filter
# word group filters of size filter_length:
model.add(Convolution1D(nb_filter=nb_filter,
filter_length=filter_length,
border_mode='valid',
activation='relu',
subsample_length=1))
# we use max pooling:
model.add(GlobalMaxPooling1D())
# We add a vanilla hidden layer:
model.add(Dense(hidden_dims))
model.add(Dropout(0.2))
model.add(Activation('relu'))
# We project onto a single unit output layer, and squash it with a sigmoid:
model.add(Dense(1))
model.add(Activation('sigmoid'))
model.compile(loss='mean_squared_error',
optimizer='adam',
metrics=['accuracy'])
model.fit(X_train, y_train,
batch_size=batch_size,
nb_epoch=nb_epoch,
validation_data=(X_test, y_test))
print("Evaluate...")
score, acc = model.evaluate(X_test, y_test,
batch_size=batch_size)
print('Test score:', score)
print('Test accuracy:', acc)
错误:
ValueError: Operation u'init_27' has been marked as not fetchable.
目前没有回答
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