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This repository contains an experimental PyTorch implementation exploring the NoProp algorithm, presented in the paper "NOPROP: TRAINING NEURAL NETWORKS WITHOUT BACK-PROPAGATION OR FORWARD-PROPAGATION ...
Obviously, building with PyTorch was way simpler. All I needed was to add two linear layers and an softmax activation layer in the middle. With the model from scratch, I used the same architecture but ...
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