Neural Network 3D Visualization
An interactive, GPU-accelerated 3D WebGL simulator representing a feed-forward neural network. This sandbox renders input nodes, hidden layer nodes, and output connections, calculating connection weights and animating signals traversing through node synapses in real-time using Three.js and custom shader buffers.
Computational Graph Metaphor
The simulation models how deep learning networks process features. Ranging from edge weight color gradients to particle speed indicators, it visually translates mathematical matrix multiplications and activation functions (like ReLU and Sigmoid) into physical light pulses.
Technical Details
- Renderer: Three.js WebGL Renderer
- Shaders: Custom vertex and fragment GLSL scripts for connection lines
- Performance: Optimized buffers ensuring smooth 60 FPS animation