NeurNetRegr

Version 1.0.0 (7,61 ko) par Alberto Comin
Simple Neural Network with fully connected layers for regression analysis.
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Mise à jour 11 oct. 2018

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Basic implementation of a neural network with fully connected layers (multi-layer perceptron) for regression analysis.
Currently it support an arbitrary number of layers, all with the same activation function ('tanh', 'sigmoid' or 'relu') and L2 regularization factor. It is possible to add activation functions using an internal dictionary. The activation function for the output layer is linear.

Citation pour cette source

Alberto Comin (2024). NeurNetRegr (https://www.mathworks.com/matlabcentral/fileexchange/69084-neurnetregr), MATLAB Central File Exchange. Récupéré le .

Compatibilité avec les versions de MATLAB
Créé avec R2018b
Compatible avec toutes les versions
Plateformes compatibles
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Version Publié le Notes de version
1.0.0