Hi,
When the CNN was first taught, Prateek Bhaiya said that we don’t have to mention the ‘input_shape’ in every Convolution layer since it is only important in the first where the program doesn’t know about it. Eventually, in the following layers, the model realizes the ‘input_shape’ on its own. But, in these videos, we have defined the input_shape for all the layers and is it of the shape of the input image and not what it will receive from the previous layer. Why are we mentioning that in the following layers?
