IsmailKonak/FF-Algorithm-Pytorch-Implementation
The Forward-Forward Algorithm proposed by Geoffrey Hinton - Unofficial Pytorch Implementation
This is a specialized neural network training method that offers an alternative to the traditional backpropagation approach. It takes in positive and negative data examples, processing them in two forward passes to train each layer independently. This tool is for machine learning researchers and practitioners who are exploring new neural network architectures and learning algorithms.
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Use this if you are a machine learning researcher or advanced practitioner experimenting with cutting-edge neural network training methodologies, particularly the Forward-Forward algorithm.
Not ideal if you are looking for a standard, production-ready deep learning solution or if you are unfamiliar with fundamental neural network concepts and research.
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Jupyter Notebook
License
MIT
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Last pushed
Aug 08, 2023
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