Implementation of Geoffrey Hinton's forward forward algorithm in tensorflow
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Updated
Feb 27, 2023 - Jupyter Notebook
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
Forward Forward Implementation improvements
Experimentations with the Forward-Forward algorithm proposed by Geoffrey Hinton
Explore Geoffrey Hinton's Forward Forward algorithm for training neutral networks
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)
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 Alternative Learning Algorithm to Backpropagation
Forward-Forward Algorithm
Forward Forward Algorithm implementation
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