There's a clear and massive movement of data forward for prediction in a CNN, and all that plus saving intermediate state and then moving the same amount of dat

There's a clear and massive movement of data forward for prediction in a CNN, and all that plus saving intermediate state and then moving the same amount of data backwards when performing backpropagation. But don't believe me, don't believe a word I type. Go prove the above wrong by building a killer AlexNet implementation out of this chip. See slide 9 of this presentation for why I don't think you can do this (too much data transfer): http://www.slideshare.net/embeddedvision/tradeoffs-in-implementing-deep-neural-networks-on-fpgas-a-presentation-from-auviz-systems http://www.slideshare.net/embeddedvision/tradeoffs-in-implem...