Code for Java Deep Learning Cookbook
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Updated
Oct 13, 2020 - Java
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 Infant Library of Artificial Neural Network (multilayer-deep-convolutional-machine-learning)
An experiment in artificial life, artificial neural nets, artificial sentience, simulated evolution, simulated consciousness, and genetic programming
Using artificial neural networks and genetic algorithm to train bot to play Chrome Dino game
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 OpenCV for Image Classification for Android Devices using ANN
A program that uses Artificial Neural Networks to recognize handwritten equations in images and calculates its result.
A private Java lab for Artificial General Intelligence
Running Artificial Neural Network in Android using OpenCV
I'm learning about machine learning algorithms by implementing them and using them in Java.
An android-API for fast image pre-processing...
VisText: Embedding ExtraSensory Tags to Create Contextual Images
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.
Easy to use neural network library in java
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