Implementation of Geoffrey Hinton's forward forward algorithm in tensorflow

This repository has implementations of various alternatives to backpropagation for training neural networks.

Hinton's Forward-Forward Algorithm for Deep Learning

Experimentations with the Forward-Forward algorithm proposed by Geoffrey Hinton

Forward Forward Implementation improvements

Explore Geoffrey Hinton's Forward Forward algorithm for training neutral networks

Custom implementations of backpropagation-free deep learning algorithms, rigorously benchmarked against tuned baselines with hardware-validated energy, time, memory, and CO₂e measurements.

Forward-Forward Algorithm: An Alternative Learning Algorithm to Backpropagation

Experiments for "Entropy Based Regularization Improves Performance in Forward-Forward Algorithm"

Unofficial implementation of forward-forward algorithm using jax

NM (Neural Module). It is a scheme for the mindustry game. It is a tool for simulation and training of neural networks (yes, right in the game). NM has its own request-response language, thanks to which you can manage and configure NM. NM uses the Forward-Forward algorithm (presented by Jeffrey Hinton, at the NeurIPS 2022 conference)

Hinton's Forward Forward algorithm in Python

Experimenting Forward Forward Algorithm on Various Activations and Comparison to Backpropagation

This repo is a walk through the Forward-Forward Algorithm introduced recently by Geoffrey Hinton..

「Forward-Forward 알고리즘 구현」에 대한 내용을 다루고 있습니다.

Forward-Forward Algorithm

An implementation of Recurrent Forward-Forward from Hinton's paper, later ported to the spike domain using SnnTorch.

Forward Forward Algorithm implementation