This project demonstrates a working neural network built from scratch in Swift, designed to run in Apple’s macOS Playground environment. It implements a fully-connected three-layer network with input, hidden, and output layers, using sigmoid activation functions. Users can train the model to recognize and classify emojis based on encoded binary input representations, with the implementation covering weights, forward propagation, and the mathematical foundations of neural network computation.