Neuro XOR

Visualizing Neural Network Learning: Solving the XOR Problem

This website demonstrates the power of a neural network in solving the XOR problem, a classic challenge in machine learning. You can visualize the network's learning process in either 2D or 3D modes, where the neural network dynamically trains on data and adjusts its outputs in real-time. It’s an interactive and educational tool designed to showcase how neural networks learn to classify non-linear data patterns, making complex concepts accessible and visually engaging.

The 2D version displays the XOR neural network's predictions as a black-and-white gradient, where black represents 0 and white represents 1 (or vice-versa). The grid dynamically updates as the network trains, showing how it learns to separate the two classes.

Visualizing Neural Network Learning: Solving the XOR Problem

This website demonstrates the power of a neural network in solving the XOR problem, a classic challenge in machine learning. You can visualize the network's learning process in either 2D or 3D modes, where the neural network dynamically trains on data and adjusts its outputs in real-time. It’s an interactive and educational tool designed to showcase how neural networks learn to classify non-linear data patterns, making complex concepts accessible and visually engaging.

Note: For the best experience, please open this website on a computer. The real-time neural network training and 3D visualizations require higher processing power and full WebGL support, which may not work optimally on mobile devices.