A lightweight JavaScript implementation of a neural network for classifying the Iris dataset.
This project is a lightweight JavaScript-based machine learning inference engine that implements a neural network for classifying the Iris dataset. Built using the stdlib library for mathematical operations, it demonstrates how to create and train a neural network entirely in JavaScript with efficient numerical computation capabilities. The project features a simple neural network architecture with one hidden layer, includes both browser-based and Node.js execution environments, and provides an interactive web interface to visualize model accuracy and predictions. It's designed for developers and students interested in understanding neural network fundamentals through a practical implementation of a classic machine learning problem.
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