Build Your First AI Visualizer

Intro: Creating Your First ai Visualizer

This tutorial will teach you to build a WebAssembly-based ai visualizer that renders neural network structures using Rust and WebGPU. You'll create:

Interactive neural network visualization
WebAssembly-powered computation
WebGPU rendering for browser compatibility

Step 1: Project Setup

          
            $ mkdir visualizer-tutorial
            $ cd visualizer-tutorial

            $ cargo init
            $ cargo add wasm-bindgen
            $ cargo add wgpu
            $ cargo add web-sys --features event,HtmlElement,window

Create a new rust workspace with cargo. Install dependencies:

Step 2: Code Implementation

Implement the core visualization:

WASM Logic

              
                use wgpu::Device;

                pub struct NeuralNetwork {
                  layers: Vec<Layer>,
                }

                impl NeuralNetwork {
                  pub fn calculate(&self) -> Vec<f32> {
                    // Your implementation here
                  }
                }

WebGPU

              
                let instance = wgpu::Instance::new();
                let adapter_opt = instance.request_adapter(&wgpu::RequestDeviceOptions::default()).await;
                let device = adapter_opt.unwrap().request_device(&wgpu::DeviceDescriptor::default(), None).await;
                let queue = device.queue();
                
                // Your WebGPU rendering code goes here

Step3: Run and Test

          
            $ npm install -g wasm-pack
            $ wasm-pack build --target no-modules

            $ node create_index.js

Build the project and open index.html in browser to see your visualization running.

Next Steps

Want to go further?

✅ Add animation to network weights changes
✅ Convert visualization to 3D using WebGPU compute shaders
✅ Add interactive controls

Build Your First ai Visualizer