Tune Artificial Neural Nets By Hand

Version 1.5.0 (6,57 ko) par Zachary Danziger
Educational tool for exploring neural network tuning both by hand and with backpropagation.
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Mise à jour 14 fév. 2022

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This tool is designed to build intuitions for how ANNs work. The user can tune the weights of a classification ANN manually, by using UI sliders to update weight values, datasets, and activation functions. The results are displayed both as a classification landscape (like the neural network playground) and as a network diagram. The main feature is control over individual weights to help demonstrate the way ANNs compute classifications and why backpropagation is powerful, and what the limits of particular ANN architectures are.

Citation pour cette source

Zachary Danziger (2024). Tune Artificial Neural Nets By Hand (https://www.mathworks.com/matlabcentral/fileexchange/105365-tune-artificial-neural-nets-by-hand), MATLAB Central File Exchange. Récupéré le .

Compatibilité avec les versions de MATLAB
Créé avec R2019a
Compatible avec toutes les versions
Plateformes compatibles
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Version Publié le Notes de version
1.5.0

Added new features (e.g., loading your own datasets and adjustability for the number of points displayed) and corrected a bug that made the network architecture slightly different than what the documentation described.
1.0.0