backpropagation-learning-algorithm
There are 169 repositories under backpropagation-learning-algorithm topic.
MNIST-Classification-with-NeuralNet
MNIST Handwritten Digits Classification using 3 Layer Neural Net 98.7% Accuracy
BP-Network-for-Stock
Use the BP Network to predict and choose stock
node-ann
:computer: A node package implementation of a Artificial Neural Network in JavaScript with Backpropagation learning algorithm.
Machine_Learning
Learning about the algorithms used in machine learning, along with techniques for training and testing models.
MachineLearning-BackPropogation-Algorithm
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
deep-learning-course
Deep Learning Courses
neural_network
basic neural network implemetation by maths, with back prop
Deep-Deblurring
Utilizing deep learning to deblur images
Neural-Network-using-Numpy
Introduction to Neural Networks (Create a neural network using Numpy)
NeuralNetwork
A library (dll) that implements functionality for creating and training neural networks (multilayer perceptron)
BackpropagationInPython
This algorithm is a backpropagation developed using Python
AI-Color-Predictor
Simple neural network with only one layer that learns to classify 2 colors
Optical-character-recognition
Optical character recognition which recognises handwritten digits using neural network. Algorithms applied are Stochastic gradient descent and Back propagation.
Signature-verification-using-deep-convolution-neural-network
Signature Verification using Deep Convolution Neural Networks
BackPropNN
Backpropagation implementation using Julia
basic_neural_network
it is simple 2 layer neural network using only numpy as dependency
miniFlow
Building a Neural Network from scratch
My-First-Neural-Network
Implemented Neural Networks from Scratch
nn_from_scratch
Implements a simple neural network without using neural network libraries.
Use-of-simple-backpropagation-Customer-Care
Simple Backpropagation for Customer Care. Demonstrates how backpropagation can be used to train a basic neural network for customer care response prediction.
nanograd
Implementing simple neural network models, using a scalar based tensor framework implemented from scratch
AI_Deep_Learning
Artificial Intelligence, Deep Learning: training an artificial neural network using backpropagation with gradient descent .
DigitRecognitionCanvas
Created with CodeSandbox
NeuralNetwork
Реализация алгоритма обратного распространения ошибки для обучения нейронной сети для распознавания рукописных цифр
myProjects
2-bits XOR logic implementation using Single Neuron using Backpropagation
BackPropogation_usingPurePythonList
A pure implemention of BackPropagating artificial neutral net
Function_Approximation-MLP
Function approximation using Multilayer Perceptron (MLP)
AI-ML-lab-programs
(VTU) aritficial Intelligence and machine learning practical programs and algorithms
Treinamento-de-Rede-Neural-Artificial
Este é um código que implementa, passo a passo, o processo de treinamento de um neurônio artificial com o algoritmo Backpropagation.
Visualizing_Gradient_Descent_For_BCE_Loss
Using only numpy in Python, a neural network with a forward and backward method is used to classify given points (x1, x2) to a color of red or blue.
backpropagation-python
An implementation of backpropagation in Python
DeepLearningPracticalWorks
Neural networks and deep learning practical works
backpropagation
Implementação do algoritmo backpropagation para machine learning com RNA's
neuralnetworks-labs
perceptron, backprop, RBF, SOM, hopfield nets, autoencoders (no external ML libs)
Pattern-Recognition
This project made with MATLAB. It's about machine learning. Artificial Neural Network in the form of Multilayer Perceptron.
image-classifier
AI Programming with Python final project