Using Java Swing to implement single layer perceptron neural network.

3 versions of Perceptron: normal Perceptron; Perceptron GUI; Multilayer Perceptron GUI, back propagation，感知机，感知器，BP 神经网络，反向传播，多层感知器，多层感知机

Learn Neural Networks using Java

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

Explore the world of Artificial Intelligence with these Java projects! Implement the Perceptron, DFS for puzzles, and Genetic Algorithm from scratch without ML libraries. Solve classic problems and learn AI concepts. 🤖🔍🧬

Example of using a Perceptron using 1 neuron to find out if it is a living being or not, using the Java Language;

AI final project to classify ASCII art digits and faces. Implemented various fundamental machine learning algorithms such as K-Nearest Neighbors, Naive Bayes, and Perceptron. 5-Nearest Neighbors was more than 90% accurate on 1000 test digits and 150 test faces using 6000 digits and 752 faces as training samples respectively.

A Binary Multi-Layer Neural Network

Neuron network lib

Solving tasks given by PJWSTK and own projects based on artificial intelligence.

Language recognition using Perceptrons

A supervised learning of binary classifier

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.

Atividade de IA, usando o algoritmo Preceptron.

This contains the most commonly used machine learning and deep learning models written from scratch without the use if any libraries except Numpy which is used for calculations

Demonstrate perceptron (based on nature of code)

Implementation of the Perceptron Algorithm for single neuron training. Multiple data transformations attempted with results shown at the attached link.

Example implementation for a basic machine learning classification algorithm.

Java implementation of Neural Network