nguyenhongson1902/direct-training-snn
This project used STBP-tdBN method to directly train Deep Spiking Neural Networks from scratch with PyTorch
This project offers a way to train deep spiking neural networks, which are artificial intelligence models designed to mimic brain activity more closely. It takes image data, like the MNIST dataset, and outputs a trained network capable of classifying those images with high accuracy. Researchers and AI engineers working on brain-inspired AI or energy-efficient deep learning would find this useful.
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Use this if you are an AI researcher or engineer looking to train deep spiking neural networks from scratch for image classification tasks.
Not ideal if you are looking for a general-purpose image classification solution that doesn't specifically involve spiking neural networks.
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Language
Python
License
MIT
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Last pushed
Feb 02, 2023
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