mohammadpz/pytorch_forward_forward

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pytorch_forward_forward Implementation of forward-forward (FF) training algorithm - an alternative to back-propagation Below is my understanding of the FF algorithm presented at Geoffrey Hinton's talk at NeurIPS 2022. The conventional backprop computes the gradients by successive applications of the chain rule, from the objective function to the parameters. FF, however, computes the gradients locally with a local objective function, so there is no need to backpropagate the errors. The local objective...