Keras, How to get the output of each layer?

Question

I have trained a binary classification model with CNN, and here is my code

model = Sequential()
model.add(Convolution2D(nb_filters, kernel_size[0], kernel_si         


        

Answer 1

In case you have one of the following cases:

• error: InvalidArgumentError: input_X:Y is both fed and fetched
• case of multiple inputs

You need to do the following changes:

• add filter out for input layers in outputs variable
• minnor change on functors loop

Minimum example:

from keras.engine.input_layer import InputLayer
inp = model.input
outputs = [layer.output for layer in model.layers if not isinstance(layer, InputLayer)]
functors = [K.function(inp + [K.learning_phase()], [x]) for x in outputs]
layer_outputs = [fun([x1, x2, xn, 1]) for fun in functors]