Is It Possible To See The Output After Conv2d Layer In Keras

I am trying to understand each layer of Keras while implementing CNN. In Conv2D layer i understand that it creates different convolution layer depending on various feature map valu

Solution 1:

You can get the output of a certain convolutional layer in this way:

import keras.backend as K

func = K.function([model.get_layer('input').input], model.get_layer('conv').output)
conv_output = func([numpy_input])  # numpy array

where 'input' and 'conv' denote the names of your input layer and convolutional layer. And you can get the weights of a certain layer like this:

conv_weights = model.get_layer('conv').get_weights()  # numpy array