ago109/predictive-forward-forward
Implementation/simulation of the predictive forward-forward credit assignment algorithm for training neurobiologically-plausible recurrent neural network models.
This project offers an implementation of the Predictive Forward-Forward (PFF) algorithm, a method for training neural networks inspired by how brains learn. It takes in raw data, like images, and trains a dual-circuit neural system to predict and generate patterns. Researchers in computational neuroscience or artificial intelligence can use this to explore bio-plausible learning mechanisms.
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Use this if you are a machine learning researcher or computational neuroscientist interested in simulating or extending novel, bio-plausible online learning algorithms for recurrent neural networks.
Not ideal if you are looking for a plug-and-play solution for standard deep learning tasks or if you don't have a background in neural network architectures and learning algorithms.
Stars
65
Forks
5
Language
Python
License
MIT
Category
Last pushed
Apr 02, 2023
Commits (30d)
0
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