A basic program that uses neural networks to classify MNIST handwritten digits.

This is the java version of the gradient decent algorithm I previously made in python, with original add-ons applied

Implementations of various numerical optimization methods, written in plain Java.

Visualizes back-propagation in a neural network

Introduction to Machine Learning: Machine Problems and Assignments

This is machine learning gradient algorithm written in Java.

Java library for nonlinear (constraint) optimization.

Master 1 student work on " Non linear optimisation"

Simple feedforward multilayer neural network with backprop learning from scratch.

Java Deep Learning Library

Batch mode training of neural network by conjugate gradient method

Siraj Coding challenge answer

Neural-network based on the paper "Learning internal representations by error propagation" by DE Rumelhart, GE Hinton, RJ Williams - 1985 - apps.dtic.mil

My second neural network project. You can select the number of hidden layers and the number of neurons in the layers. Dynamic Step is experimental, thus you should keep it disabled. Overall the network is quite inefficient.

Implemented various Machine Learning Algorithms in Java

JavaFx Application for Convolutional Network to perfom Image Classification using Softmax Output Layer, Back Propagation, Gradient Descent, Partial Derivatives, Matrix Flattening, Matrix Unfolding, Concurrent Task, Performance Histogram, Confusion Matrix

A Java Library for Statistics, Data Analysis and Visualization.