Keras错误:预计将看到1个数组 [英] Keras error : Expected to see 1 array

问题描述

当我尝试在keras中训练MLP模型时出现以下错误(我正在使用keras版本1.2.2)

I got the following error when I tried to train an MLP model in keras(I am using keras version 1.2.2)

检查模型输入时出错:您所输入的Numpy数组的列表 传递给您的模型的尺寸不是模型期望的尺寸.预期的 查看1个数组，但得到以下12859个数组的列表:

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 1 arrays but instead got the following list of 12859 arrays:

这是模型的摘要

____________________________________________________________________________________________________
Layer (type)                     Output Shape          Param #     Connected to
====================================================================================================
dense_1 (Dense)                  (None, 20)            4020        dense_input_1[0][0]
____________________________________________________________________________________________________
dense_2 (Dense)                  (None, 2)             42          dense_1[0][0]
====================================================================================================
Total params: 4,062
Trainable params: 4,062
Non-trainable params: 0
____________________________________________________________________________________________________
None

这是模型的第一行

 model.add(Dense(20, input_shape=(200,), init='lecun_uniform', activation='tanh'))

培训:

model.fit(X,Y,nb_epoch=100,verbose=1)

其中X是元素列表，每个元素又是200个值的列表.

where X is a list of elements and each element in turn is a list of 200 values.

我也尝试过

model.add(Dense(20, input_shape=(12859,200), init='lecun_uniform', activation='tanh'))

但是我遇到了同样的错误

but I am getting the same error

推荐答案

您的错误来自以下事实:您的X由于某种原因未转换为numpy.array.在这种情况下，您的X被视为行列表，这是您的错误消息背后的原因(它期望一个输入而不是具有多个行元素的list).转变:

Your error comes from the fact that your X for some reason wasn't transformed to a numpy.array. In this your X is treated as a list of rows and this is a reason behind your error message (that it expected one input instead of list which has a number of rows elements). Transformation:

X = numpy.array(X)
Y = numpy.array(Y)

我会检查数据加载过程，因为那里可能出了些问题.

I would check a data loading process because something might go wrong there.

更新:

正如评论中提到的-input_shape需要更改为input_dim.

As it was mentioned in a comment - input_shape need to be changed to input_dim.

更新2:

为了保留input_shape，应将其更改为input_shape=(200,).

In order to keep input_shape one should change to it to input_shape=(200,).

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