A Lightweigh, Pure Java Implementation of Rumelhart's Multilayer Perceptron. Compact (~50 KB JAR). It Supports 18 Activation Functions And Both Least Squares and Cross-Entropy Loss Functions For Model Training

Machine learning library for classification tasks

Machine learning and prediction service for Niagara NX platform.

用java寫的MLP，總程式不到一千行，可使用主流十幾種激勵函數。

Artificial Neural Networks for Java This package provides Object oriented Neural Networks for making Explainable Networks. Object Oriented Network structure is helpful for observing each and every element the model. This package is developed for XAI research and development.

Detect how many layer needed in neural net to solve a problem

AI: Convolutional Neural Network (CNN) 🧠

A toy library written in Java to better understand Artificial Neural Networks.

Heuristic evaluation of Othello board by multi-layer perceptron for effective 1-ply tree search (the more keywords the merrier)

🎲 BUT INFO: Handling multi-layered perceptrons and Problem solving - SAE Artificial Intelligence

Implementação da Rede Neural MLP (Multilayer Perceptron) usando Algoritmo Backpropagation

A plain vanilla neural network. It provides the ability of having multiple hidden layers.

Java implementation of Multilayer Perceptron

An activity recognizer using a neural network implemented from scratch

A very basic and completely scalable perceptron