Neural Network Visualization with Three.js

This is an impressive visualization of a neural network for handwritten digit recognition using Three.js. The demo shows a 3D representation of the neural network architecture where:

• The network appears to process MNIST handwritten digit data
• Three.js is used to create an interactive 3D visualization of the network's structure
• The visualization shows neurons as spheres arranged in layers
• The prediction process is visualized in real-time

Technical Implementation

The visualization effectively demonstrates how a neural network processes input data through its layers to make predictions. Based on the screenshots, it appears to show:

1. Input layer (likely 28×28 pixels from MNIST)
2. Hidden layer(s)
3. Output layer (10 neurons for digits 0-9)

Potential Improvements

As you mentioned, some potential enhancements could include:

• Connecting lines between neurons to show the network's connections
• Adding visual effects to represent activation strength
• Animating data flow through the network
• Adding interactive elements to allow users to draw their own digits
• Visualizing the training process

This is a great example of using Three.js for educational visualization of machine learning concepts. The 3D representation helps make the abstract concept of neural networks more tangible and understandable.