Project Overview
This project combines my passion for machine learning and data visualization to create an educational tool that makes neural networks more accessible and understandable.
Key Features
- Real-time Visualization: Watch neural networks learn in real-time
- Interactive Architecture Builder: Drag and drop to create custom network architectures
- Performance Metrics: Live tracking of loss, accuracy, and gradient flows
- Educational Mode: Step-by-step explanations of forward and backward propagation
Technical Implementation
The platform uses a modern web stack with WebGL for high-performance graphics rendering and a Python backend for actual neural network computations.
Impact
The platform has been adopted by several educational institutions and has helped thousands of students better understand neural network concepts.