Real-world application sized Neural Network. Implemented back-propagation algorithm with momentum, auto-encoder network, dropout during learning, least mean squares algorithm.
-
Updated
Aug 10, 2017 - MATLAB
Real-world application sized Neural Network. Implemented back-propagation algorithm with momentum, auto-encoder network, dropout during learning, least mean squares algorithm.
Matlab Application that performs back-propagation algorithm in order to recognize the hand-written characters
Neural_Network for handwritten numbers detection in Octave (free Matlab)
A fully connected multilayer feed-forward network
Implemented Back Propogation Algorithm in octave
EE456 2022 mini project implementation of two-moons problem using multi-layer-perceptron with back-propagation with analyzing performance of initializing methods and momentum rule
Add a description, image, and links to the back-propagation topic page so that developers can more easily learn about it.
To associate your repository with the back-propagation topic, visit your repo's landing page and select "manage topics."