I watched things mentioned in sibling comments, but didn't help. Until I found this: https://www.youtube.com/@algorithmicsimplicity https://www.youtube.com/@a

I watched things mentioned in sibling comments, but didn't help. Until I found this: https://www.youtube.com/@algorithmicsimplicity https://www.youtube.com/@algorithmicsimplicity Instantly clicked. Both convolution and transformer networks. EDIT: for the purpose of visualization, I highly recommend following channel: https://www.youtube.com/watch?v=eMXuk97NeSI&t=207s https://www.youtube.com/watch?v=eMXuk97NeSI&t=207s It nicely explains and shows concepts of stride, features, window size, input to output size relation - in convolutional NN