Deep Learning, Sora, Computer Vision, Transformers, Attention.
them all to the same size. forward pass through a conv network and calculate loss. As we have seen, For conv networks this is straight forward step without any architectural changes. The cavet is that we have to processes the masked portion of the image too and that is lost computation & we cannot