Neural Network Playground Introduction

Neural Network Playground works by providing a graphical interface where users can construct neural networks by adding layers and neurons. Users can select from different predefined datasets or create custom ones. As the network trains, the playground visualizes the decision boundaries and how they change in real-time. Users can adjust hyperparameters like learning rate, regularization, and batch size to see their effects. The tool also displays the network's loss and accuracy as it trains, helping users understand how these metrics evolve during the learning process. Advanced features allow users to visualize the activations of individual neurons and see how the network transforms the input data through each layer.