Hi community,
I have two question regarding the structure of the AlexNet:
I opened a question on SO 5 about it because if you read the specification on the paper 6 and then the diagram, the dimensions of the volumes on the networks does not match. I assume I am missing something but it just does not work in this publication (which is amazing, don’t get me wrong)

hoXIq.png1964×994

I took a look at how PyTorch implemented it 12 with the hope to find out what was I missing, and I just see the implementation is totally different from the original paper. For instance, the first layer in the paper is a 11x11 convolution with a stride of 4 and 96 kernels, whereas the PyTorch implementation has 64. I think this could be because for a single GPU it may not be just gathering the 96 kernels (48 each of the 2 defined in the paper), but where can I find those specifications then?
Thanks in advance!
Pablo