问题
I have this error
Error when checking input: expected input_13 to have 4 dimensions, but got array with shape (7, 100, 100)
For the following code how should I reshape array to fit with 4-dimensions, I searched for it but didn't understand the previous solutions. Please ask if not clear its very common issue in convolution neural network.
inputs=Input(shape=(100,100,1))
x=Conv2D(16,(3,3), padding='same')(inputs)
x=Activation('relu')(x)
x=Conv2D(8,(3,3))(x)
x=Activation('relu')(x)
x=MaxPooling2D(pool_size=(2,2))(x)
x=Dropout(0.2)(x)
x=Dense(num_classes)(x)
x=Activation('softmax')(x)
output=Activation('softmax')(x)
model=Model([inputs], output)
回答1:
If x is your data array you should simply apply the following transformation:
x = x.reshape((-1, 100, 100, 1))
来源：https://stackoverflow.com/questions/48794214/expected-input-to-have-4-dimensions-but-got-array-with-shape