Reversible designs for extreme memory cost reduction of CNN training

Tristan Hascoet, Quentin Febvre, Yasuo Ariki +1

Training Convolutional Neural Networks (CNN) is a resource intensive task that requires specialized hardware for efficient computation. One of the most limiting bottleneck of CNN t…