Deep neural network implemented in Java from scratch, without using library/framework.

A Java Library for Statistics, Data Analysis and Visualization.

Neural Networks in Java 8 with CuDNN and Aparapi

Java Deep Learning Library

Homeworks from the Solving Optimization Problems Using Evolutionary Computation Algorithms in Java course.

Learn Logistic Regression and implement by Java， also used to solve Kaggle-Titanic predict。

(2018) A machine learning program to predict housing prices based on synthetic data

Java library for nonlinear (constraint) optimization.

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

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.

Master 1 student work on " Non linear optimisation"

Implemented various Machine Learning Algorithms in Java

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

Visualizes back-propagation in a neural network

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

This is machine learning gradient algorithm written in Java.

Batch mode training of neural network by conjugate gradient method

Simple feedforward multilayer neural network with backprop learning from scratch.