I have the following code:
我有以下代码：
max_features = 5000
maxlen = 140
model = Sequential()
model.add(Embedding(max_features, 128))
model.add(LSTM(128, activation = 'sigmoid', inner_activation = 'hard_sigmoid', return_sequences = False))
model.add(Dense(input_dim = 128, output_dim = 2, activation = 'softmax'))
optimizer = Adam(lr = 0.001, beta_1 = 0.9, beta_2 = 0.999, epsilon = 1e-8)
model.compile(loss = 'categorical_crossentropy', optimizer = optimizer)
model.fit(x_train, y_train, batch_size = 64, nb_epoch = 10, verbose = 2)
y_test_pred = model.predict_classes(x_test)
But everytime I run it, I get an error at the line
但每次我运行它时，我都会收到错误
model.compile(loss = 'categorical_crossentropy', optimizer = optimizer)
which states:
其中说明：
AssertionError: The number of inputs given to the inner function of scan does not match the number of inputs given to scan.
Does anyone know what that means?
有谁知道这意味着什么？
1 个解决方案
#1
0
Answer by OP:
OP回答：
I have fixed this problem, turns out it has something to do with an outdated Theano version. So if you are experiencing this problem, update your theano module!
我已经解决了这个问题，事实证明它与过时的Theano版本有关。因此，如果您遇到此问题，请更新您的theano模块！
#1
0
Answer by OP:
OP回答：
I have fixed this problem, turns out it has something to do with an outdated Theano version. So if you are experiencing this problem, update your theano module!
我已经解决了这个问题，事实证明它与过时的Theano版本有关。因此，如果您遇到此问题，请更新您的theano模块！