I have analysed the pretrained alexnet model. I have attached the screen shot. In that conv2 row, weights are given as 5*5*48*256. what is 48 here?. As per my knowledge, 48 represents the previous layer (number of channels in previous layer). but number of previous layer is 96 after pool1. likewise, same doubt in conv4 and conv5.
Can anyone explain this question?