There are 3 repositories under backpropagation-learning-algorithm topic.
A simple factor network implementation written by JavaScript
Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera
medium blog supplementaries | Backprop | Resnet & ResNext | RNN |
Final Project of the Udacity AI Programming with Python Nanodegree
A CNN model in numpy for gesture recognition
Back Propagation, Python
Minimalistic Multiple Layer Neural Network from Scratch in Python.
ICDSS Machine Learning Workshop Series: Neural Networks
MATLAB implementations of a variety of machine learning/signal processing algorithms.
Neural Network in pure PHP
Package provides java implementation of multi-layer perceptron neural network with back-propagation learning algorithm
Implementação simples da rede neural Perceptron Multicamadas em Javascript.
Digit Recognition using backpropagation algorithm on Artificial Neural Network with MATLAB. Dataset used from MNSIT.
In this repo, the backpropagation algorithm in feedforward neural networks is implemented from scratch using C.
Multi-layered Convolutional Neural Network written in C++11
Micro-Framework for building and Training Neural Network from Scratch based AutoGrad Engine
Code for the paper "Combining Gradients and Probabilities for Heterogeneours Approximation of Neural Networks"
Scala implementation of multi-layer deep-learning algorithm
A simple neural network with backpropagation used to recognize ASCII coded characters
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
Solutions to Coursera's Intro to Machine Learning course in python
MNIST Handwritten Digits Classification using 3 Layer Neural Net 98.7% Accuracy
Implementation of different versions of FeedForward Neural Network in python from scratch. The repository includes, Backpropagation, Dimensionality Reduction with Autoencoder and Word2Vec model (CBOW).
Easy to use neural network library in java
Simple Neural Network - Inspirado en https://github.com/jonasbostoen/simple-neural-network
A Car that Self-Navigates Using Neural Networks Based on Back-Propagation Algorithm
Use the BP Network to predict and choose stock
Back propagation algorithm to predict the weather condition(Sunny, Cold, Cloud, Rainy)
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.
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.
Lightweight multi-layer neural network library implemented in pure javascript.
Implementation of a neural network model with backpropagation algorithmfor image classification using the MNIST dataset, featuring experiments varying learning rates, momentum, hidden units, and training data sizes