SNNtrainer3D

JavaScript application designed to train Spiking Neural Networks

Overview

SNNtrainer3D is a software application designed to train Spiking Neural Networks. It provides a user friendly interface for designing and training models with the ability to visualize the model architecture using Three.js. Users can add, remove and edit hidden layers (only fully connected layers are supported).

The application supports training on the MNIST dataset and allows downloading of trained weights for further use. Moreover, it lays the groundwork for future integration with physical memristor technology, positioning it as a crucial tool for advancing neuromorphic computing research.

SNNtrainer3D logo

SNNtrainer3D

GitHub Stars
Maintainer(s):
Sorin Liviu Jurj
Language:
JavaScript
License:
unknown
Application:
Machine Learning
Dependencies:
N/A

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Our software guide is maintained by the community. If you have updates, see an error, or want to suggest a new tool, please let us know by opening an issue on our GitHub repository.