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#

backpropagation-learning-algorithm

Here are 166 public repositories matching this topic...

A simple factor network implementation written by JavaScript

  • UpdatedJan 17, 2018
  • JavaScript

medium blog supplementaries | Backprop | Resnet & ResNext | RNN |

  • UpdatedFeb 4, 2022
  • Jupyter Notebook

ICDSS Machine Learning Workshop Series: Neural Networks

  • UpdatedNov 28, 2017
  • Jupyter Notebook

In this repo, the backpropagation algorithm in feedforward neural networks is implemented from scratch using C.

  • UpdatedJun 16, 2021
  • C
rn-Neural-Network-in-pure-PHP-ML-AINano-AutoGrad

Micro-Framework for building and Training Neural Network from Scratch based AutoGrad Engine

  • UpdatedJun 28, 2023
  • Python

Textbook implementation of backprop (from the Jacobian point of view) in Julia.

  • UpdatedFeb 11, 2017
  • Julia

Package provides java implementation of multi-layer perceptron neural network with back-propagation learning algorithm

  • UpdatedJan 26, 2018
  • Java

Neural Network demonstration with Backpropagation learning and the Iris dataset.

  • UpdatedMay 6, 2020
  • C

Digit Recognition using backpropagation algorithm on Artificial Neural Network with MATLAB. Dataset used from MNSIT.

  • UpdatedFeb 12, 2018
  • MATLAB
Flux-A-Custom-Educational-Deep-Learning-Framework

This neural network framework, built entirely from scratch in C++, offers a robust educational platform for deep learning. It features a custom matrix library and a handcrafted mathematical gradient computation engine, designed to teach neural networks from first principles. I am the sole developer and contributor to this project.

  • UpdatedMay 16, 2025
  • C++

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