Fast-CNN
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Claim is misleading. CNN is not slower. The CNN implementation is slow.
The claim in this article and the notebook is quite misleading.
pyTorch CNN implementation already uses the cuDNN or a faster fbfft module. For smaller kernel sizes, the Winograd algorithm is even faster.
Your comparison is against convolution done in the position space, using a python for loop.
pyTorch CNN implementation already uses the cuDNN or a faster fbfft module
@geyang. Could you link that code from pytorch's github? I am very interested in that and I couldn't find that yet.