Keras阵列输入错误 [英] Keras Array Input Error

问题描述

我收到以下错误:

ValueError: Error when checking model input: the list of Numpy arrays that you are passing to your model is not the size the model expected. Expected to see 6 arrays but instead got the following list of 3 arrays: [array([[ 0,  0,  0, ..., 18, 12,  1],
       [ 0,  0,  0, ..., 18, 11,  1],
       [ 0,  0,  0, ..., 18,  9,  1],
       ...,
       [ 0,  0,  0, ..., 18, 15,  1],
       [ 0,  0,  0, ..., 18,  9,  ...

在我的keras模型中.

in my keras model.

我认为该模型有误入歧途吗?

I think the model is mistaking something?

当我将输入输入模型时会发生这种情况.相同的输入在另一个程序中可以很好地工作.

This happens when I feed input to my model. The same input works perfectly well in another program.

推荐答案

没有更多信息就无法诊断出确切的问题.

It's impossible to diagnose your exact problem without more information.

我通常根据我的训练数据X指定第一层的input_shape参数.

I usually specify the input_shape parameter of the first layer based on my training data X.

例如

model = Sequential()
model.add(Dense(32, input_shape=X.shape[0]))

我想您希望X看起来像这样:

I think you'll want X to look something like this:

   [
    [[ 0,  0,  0, ..., 18, 11,  1]],
    [[ 0,  0,  0, ..., 18,  9,  1]],
   ....
   ]

因此，您可以尝试使用以下行来重塑它:

So you could try reshaping it with the following line:

X = np.array([[sample] for sample in X])

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