backpropagation-learning-algorithm

fotisk07/Deep-Learning-Coursera

Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera

fotisk07/Image-Classifier

Final Project of the Udacity AI Programming with Python Nanodegree

prakashjayy/medium_blogs

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

ankitesh97/Gesture-Recognition-CNN

A CNN model in numpy for gesture recognition

petrvacha/Character-recognition-by-neural-network

Back Propagation, Python

umbertogriffo/Minimalistic-Multiple-Layer-Neural-Network-from-Scratch-in-Python

Minimalistic Multiple Layer Neural Network from Scratch in Python.

Imperial-College-Data-Science-Society/Neural-Networks

ICDSS Machine Learning Workshop Series: Neural Networks

clarkzinzow/Machine-Learning-and-Signal-Processing-Algorithms

MATLAB implementations of a variety of machine learning/signal processing algorithms.

sm823zw/Neural-Network-Backprop-using-C

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

vivesweb/rn-Neural-Network-in-pure-PHP-ML-AI

Neural Network in pure PHP

chen0040/java-ann-mlp

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

codingXiang/BPN

mtimjones/backprop

Neural Network demonstration with Backpropagation learning and the Iris dataset.

youness-elbrag/Nano-AutoGrad

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

etrommer/agn-approx

Code for the paper "Combining Gradients and Probabilities for Heterogeneours Approximation of Neural Networks"

gilbertobastos/perceptron-multicamadas-js

Implementação simples da rede neural Perceptron Multicamadas em Javascript.

shivang8/Digit-Recognition

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

bundit/neural-network-digit-recognition

Multi-layered Convolutional Neural Network written in C++11

lucasb-eyer/Backprop.jl

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

zavalit/neural-network-example

Scala implementation of multi-layer deep-learning algorithm

11808s8/python-neural-network

A simple neural network with backpropagation used to recognize ASCII coded characters

AjayKadoula/Machine-Learning-LAB-mtech-2nd-sem-assignment

Apriori Algorithm, BackPropagationNeuralNetwork, Genetic Algorithm, K Medoid Algorithm, LogisticRegression, matrix multiplication, MultivariateRegression, PSO Particle Swarm Optimization, Principal Component Analysis, RSA ALGO, SparseMatrixMultiplication, SqrtFunction, Steepest Descent Search, Gradient Descent TSP, abc artificial bee colony algorithm, decision tree classifier, elliptic curve linear regression, logistic regression, rsa algo, support vector machines

DaHoC/backprop

Derivation of backpropagation of error formula in laTeX

naveenkumar-j/weather-prediction-using-backpropagation-algorithm

Back propagation algorithm to predict the weather condition(Sunny, Cold, Cloud, Rainy)

aditya9211/MNIST-Classification-with-NeuralNet

MNIST Handwritten Digits Classification using 3 Layer Neural Net 98.7% Accuracy

Cloud-Tech-AI/neural-networks

Implementation of different versions of FeedForward Neural Network in python from scratch. The repository includes, Backpropagation, Dimensionality Reduction with Autoencoder and Word2Vec model (CBOW).

dstallenberg/NormalFeedForwardNeuralNet

Easy to use neural network library in java

fllaryora/ANN

artificial neural network.

IgnacioPardo/SNN

Simple Neural Network - Inspirado en https://github.com/jonasbostoen/simple-neural-network

IlyasHabeeb/Self_Driving_Car

A Car that Self-Navigates Using Neural Networks Based on Back-Propagation Algorithm

Jason2Jason/BP-Network-for-Stock

Use the BP Network to predict and choose stock

rajatjain1997/Readr

Readr is a python library using which programmers can create and compare neural networks capable of supervised pattern recognition without knowledge of machine learning. These networks are fuzzy-neuro systems with fuzzy controllers and tuners regulating learning parameters after each epoch to achieve faster convergence.

VarunAnanth2003/Java-Neural-Network

A fully functioning neural network made from scratch in Java without the use of any external libraries. Comes with extended functionality such as L2 regularization, Mini-batch gradient descent, variable activation functions, etc. Fully commented for ease of understanding! Now imported to IntelliJ.

vrn25/Machine-Learning-Coursera

Solutions to Coursera's Intro to Machine Learning course in python

WalkingBread/multi-layer-neural-network

Lightweight multi-layer neural network library implemented in pure javascript.