This program recognises the handwritten number from 0-9 using neural network, The neural network used has 300 hidden layers, and uses backpropogation to improve itself.

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

Implementation of the back propagation algorithm in Octave

Just another BP simulation.

This repository containa backpropagation trainning of artificial neural network

Edge detection in binary images using artificial neural network

Machine learning techniques, such as Linear Regression, Logistic Regression, Neural Networks (feedforward propagation, backpropagation algorithms), Diagnosing Bias/Variance, Evaluating a Hypothesis, Learning Curves, Error Analysis, Support Vector Machines, K-Means Clustering, PCA, Anomaly Detection System, and Recommender System.

Machine Learning (Stanford University) Week 5 assignments

This repository contains SUPERVISED AND UNSUPERVISED machine learning algorithms like linear regression, logistic regression, svm, backprogation, K-means, PCA

Basic Artificial Neural Network usage on BlackJack card game data with MATLAB

Uses vanilla backpropagation to train a basic multi-layer network to classify digits

I haved solved the Parity-3 problem using an artificial neural network called Multilayer Perceptron and populer learning algorithm Backpropagation algorithm. Hyperbolic tangent has been used as an activation(transfer) function .

I haved solved the Parity-4 problem using an artificial neural network called Multilayer Perceptron and populer learning algorithm Backpropagation algorithm. Sigmoid has been used as an activation(transfer) function .

I have developed a simple speech recognition engine based on words using Multilayer perceptrons with Hypebolic tangent activation function and Backpropagation learning algorithm.

Neural networks using Backpropagation

These are the solutions to the programming assigments from Andrew Ng's "Machine Learning" course from Coursera

数学知识点滴积累 矩阵 数值优化 神经网络反向传播 图优化 概率论 随机过程 卡尔曼滤波 粒子滤波 数学函数拟合