Code for Java Deep Learning Cookbook

Java Deep Learning Cookbook, published by Packt

A java implementation of NEAT(NeuroEvolution of Augmenting Topologies ) from scratch for the generation of evolving artificial neural networks. Only for educational purposes.

Ithaka board game is played on a four by four square grid with three pieces in each of four colors.

This is a sample example of a artificial neural networks using Perceptron

Using artificial neural network and genetic algorithm to train bot to play FlappyBird

An experiment in artificial life, artificial neural nets, artificial sentience, simulated evolution, simulated consciousness, and genetic programming

This project was created to make the creation of neural networks focused on prediction in the finance market easier. It will be use as a course conclusion paper

Using artificial neural networks and genetic algorithm to train bot to play Chrome Dino game

An Infant Library of Artificial Neural Network (multilayer-deep-convolutional-machine-learning)

A program that uses Artificial Neural Networks to recognize handwritten equations in images and calculates its result.

Using OpenCV for Image Classification for Android Devices using ANN

I'm learning about machine learning algorithms by implementing them and using them in Java.

Running Artificial Neural Network in Android using OpenCV

A private Java lab for Artificial General Intelligence

VisText: Embedding ExtraSensory Tags to Create Contextual Images

An Android API for high-speed image pre-processing — optimized for performance, built for scale.

master-thesis

Perceptron Algorithm implementation in Java. Implementation of Perceptron Algorithm to solve a simple classification problem and show the algorithm limitations, using the logical operations AND, OR and XOR.