如何使用异常架构

Question

I want to use xception model to classify images,but iam getting valuerror.

xception=keras.applications.xception.Xception(include_top=False,input_shape=(71,71,3))
classifier=Sequential()
for layer in xception.layers:
    classifier.add(layer)

Iam getting this error

ValueError: Input 0 is incompatible with layer conv2d_1: expected axis -1 of input shape to have value 64 but got shape (None, 33, 33, 128)

I also get this error when using resnet.But i dont get it when iam using vgg16 or vgg19.Can anyone say how to use it??

Answer 1

You can use the functional API. Here is one possible example of classifier

#Base model Xception
xception=keras.applications.xception.Xception(include_top=False,input_shape=(71,71,3))

# Input of your model
input=Input(shape=(71,71,3))
# Add the inception base model to your model
y=xception(input)
    .

    .
# Other layers by passing previous output  
y=Dense(...)(y)
# Define model
model=Model(input,y)

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