Backpropagation for training an MLP

Version 1.7.0 (2 Mo) par BERGHOUT Tarek
this code returns a fully trained MLP for regression using back propagation of the gradient. I dedicate this work to my son :"Lokmane ".
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Mise à jour 30 mai 2020

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BP algorithm is one of the most famous algorithms for training a feed forward neural net , it allows to update weights by moving forward and backword until the error function stuck at its local minimum.

in this code we explain step by step in comments how we can train a neural net with BP algorithm with additional illustrative features.

https://www.youtube.com/watch?v=vYZdBgS-Z8A&feature=youtu.be

Citation pour cette source

BERGHOUT Tarek (2024). Backpropagation for training an MLP (https://www.mathworks.com/matlabcentral/fileexchange/69947-backpropagation-for-training-an-mlp), MATLAB Central File Exchange. Récupéré le .

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Créé avec R2013b
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best_BP

Version Publié le Notes de version
1.7.0

description
1.6.0

Notations are updated according to attached pdf document
1.5.0

a prediction function is added to meet some student requests
1.4.0

youtube link
1.3.0

very simple code with many comments to make easy to be understood
1.2.0

new very simple code with comments to be very easy to understand.
1.1.0

new version

1.0.0