back-propagation

mosdeo/LKYDeepNN

Low dependency（C++11 STL only）, good portability, header-only, deep neural networks for embedded

jaredthecoder/BioPy

Biologically-Inspired and Machine Learning Algorithms written in Python

kul-optec/AbstractOperators.jl

Abstract operators for large scale optimization in Julia

arthurdjn/nets

Recreating PyTorch from scratch, using Numpy. Supports FCN, CNN, RNN layers.

serengil/neural-networks-py

Core neural networks framework supporting to build multilayer perceptron

timmmGZ/MLP-Perceptron-and-Multi-layer-Perceptron-back-propagation-GUI

3 versions of Perceptron: normal Perceptron; Perceptron GUI; Multilayer Perceptron GUI, back propagation，感知机，感知器，BP 神经网络，反向传播，多层感知器，多层感知机

kkmk11/NETWORK-INTRUSION-DETECTION-SYSTEM

This is a software application to detect network intrusion by monitoring a network or system for malicious activity and predicts whether it is Normal or Abnormal(attacked with intrusion classes like DOS/PROBE/R2L/U2R).

PAC-P2P/BPNN-Face-Recognition-For-Parallel

基于并行BP神经网络的人脸识别系统（并行）

redsoul/encog

Encog is a NodeJs ES6 framework based on the Encog Machine Learning Framework by Jeff Heaton.

MoinDalvs/Neural_Networks_From_Scratch

Neural_Networks_From_Scratch

AhmedIssa11/Chronic-Kidney-Disease-Detection

chronic kidney disease detection using different neural network technique

AndreasKaratzas/neural-network

Feed Forward Multi-Layer Neural Network implemented in C++ 17, optimized using OpenMP 5.1 and tested on fashion MNIST dataset.

Galarius/nnet

Neural Network Based UAV Routing

gokaytitrek/nn-optimal-brain-damage

Optimal brain damage, Back propagation, Neural Network

mb11797/Image_Recognition_Cat_vs_Non-Cat_Pytorch

A classifier to differentiate between Cat and Non-Cat Images

prashanth-prakash/Feedback-alignment

Implemented random feedback alignment. This algorithm is one solution to the weight transport problem. The algorithm is based on the paper:

mochji/synapsea

A simple, lightweight and powerful ML framework for Lua.

MoinDalvs/Gradient_Descent_For_beginners

Gradient_descent_Complete_In_Depth_for beginners

Quwarm/NN-Data-Classification

Classification of data using neural networks — with back propagation (multilayer perceptron) and with counter propagation

binglel/mnist_bp

mnist data training and testing with back propagation

gmlyytt-YANG/Artificial-NN

Self-define nn model and code ONLY BY numpy!!! Please star it~~

melchisedech333/xor-neural-network

🤖 Artificial intelligence (neural network) proof of concept to solve the classic XOR problem. It uses known concepts to solve problems in neural networks, such as Gradient Descent, Feed Forward and Back Propagation.

mittukoushik/NETWORK_INTRUSION_DETECTION_SYSTEM

This is a software application to detect network intrusion by monitoring a network or system for malicious activity and predicts whether it is Normal or Abnormal(attacked with intrusion classes like DOS/PROBE/R2L/U2R).

navjindervirdee/machine-learning-from-scratch

Detailed implementation of various machine learning algorithms from scratch using python language.

sadighian/hand_crafted_models

Popular predictive models and optimizers implemented in pure Python.

simsam8/inf265_project1

This project implements the backpropagation algorithm and compares it with pytorch's implementation.

SpiNNakerManchester/SpiNNaker_PDP2

Cognitive systems modelling on SpiNNaker

tranleanh/Perceptron-Backpropagation

This repo includes C++ and Python Sources of some algorithms for Perceptron and Classification.

tyrelh/toy-neural-network-js

A simple Neural Network library for JavaScript

amatov/PowerLineCommunication

DeepDeducing/GameofLife

This repository contains codes of deep deducing playing Game of Life.

hemae/neural_networks

Code examples of neural networks (learning)

nikhildagarwal/Number_Classifier_ML

Python neural network built from scratch. Uses Machine Learning algorithms to correctly classify handwritten numbers into digits.

parham1998/Mackey_Glass_Time_Series

Implementation of a two-layer perceptron (from scratch) with four back-propagation methods in Python

SBalas/Neural-Networks-Intro

Simple first principles models on neural network concepts. Models include perceptron, gradient descent, back propagation, and applying keras and Tensors on datasets.