Show HN: Neural Fit game -Adjust the network's weights and biases
Neural Fit is an interactive game where players manually adjust a neural network's weights and biases to solve tasks. The project aims to provide an intuitive, hands-on understanding of how neural networks learn and function.
Background
- Neural Fit is an interactive browser game that lets you manually adjust the weights and biases of a small neural network to make it learn a simple task (like classifying points on a 2D grid).<br/>- Weights and biases are the internal numerical parameters that a neural network adjusts during training; normally, an algorithm like backpropagation tweaks them automatically based on error, but here you do it by hand.<br/>- This is a "Show HN" submission — a project shared on Hacker News, a popular tech community where makers show their work to an audience of engineers and programmers.<br/>- The game is educational: it gives you hands-on intuition for how tiny changes to a network's internal knobs affect its outputs, a feel that most people only get from math or code.