Jumplander AI Neural Network Simulator 🧠

Overview

Jumplander AI Neural Network Simulator is a small but powerful JavaScript-based tool to model and visualize neural network behavior.
It helps you understand how neurons interact in layers and how learning occurs through backpropagation.
All code is generated with JumpLander Coder32b AI.

Features

• Multi-layer neural network: input → hidden → output
• Sigmoid activation function
• Simple backpropagation for learning
• Fully extendable for research or teaching small AI projects

Installation

git clone https://github.com/YOUR_USERNAME/JumplanderAI-NeuralNet.git
cd JumplanderAI-NeuralNet
open index.html
index.html
const nn = new NeuralNetwork(2, 2, 1); // 2 inputs, 2 hidden neurons, 1 output
nn.train([[0,0],[0,1],[1,0],[1,1]], [0,1,1,0]); // Train XOR
console.log(nn.predict([1,0])); // Predict output