Sample full connected layers

Simple and easy-to-use neural network library made into a SINGLE class. Just copy paste into a class, and start using it!

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.

Neural backpropagation with examples and training (Java)

Conjunto de ferramentas para lidar com treinamentos de redes neurais artificiais

A simple self learning Neural Network that can detect/learn alot of things, highly scalable. Made in Java

Basic implementation of Neural Network made by me

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

Optical Character Recognition Using Neural Networks in Java

A tiny deep learning library written in Java

Simple neural network with backpropagation on java

A Java 8 library that implements the back-relationship update feature for a Spring Data REST project

My first neural network (no external libraries)

Deep Learning library.

MultiLayerPerceptron with backpropagation using the Apache Commons Math library

neural network

A fully functioning neural network made from scratch in Java without the use of any external libraries. Comes with extended functionality such as L2 regularization, Mini-batch gradient descent, variable activation functions, etc. Fully commented for ease of understanding! Now imported to IntelliJ.

it was designed a neural network designed using Java-Neuroph Library.

An attempt to make a generator of microtonal music using Markov chains and perceptrons. Project abandoned due to lack of time and datasets

Website that uses neural network with backpropagation for digit classification.