Neural Network Visualizer (Placeholder)

Neural Network Visualizer

Full case study refresh is coming soon—treat this as an early snapshot while I finish polishing copy and assets.

This project turns raw model data into an interactive playground where you can watch layers activate, weights adjust, and metrics evolve in real time.

Architecture

Data streams from TensorFlow.js into a worker thread, which keeps the visualization buttery smooth even when training larger models.

Train model in TensorFlow.js
Stream weight matrices over postMessage
Render D3 force layout with WebGL-backed nodes

Training metrics dashboard — Loss and accuracy curves update live alongside confusion matrices.

Feature Highlights

Animated force-directed graphs with gradient weight edges.
Epoch timeline scrubber with playback controls.
Heatmaps for layer activations.
WebGL instancing for fast node rendering.

Capturing a training session with node highlights and metric overlays.

const simulation = forceSimulation(nodes)
.force("link", forceLink(links).id((d) => d.id))
.force("charge", forceManyBody().strength(-120))
.force("center", forceCenter(width / 2, height / 2))

3D activation plot — 3D plotted neuron activations during forward propagation.

Training metrics UI — Metrics panel with loss/accuracy and learning rate schedule.

Launch the playground

Observability shouldn't stop at metrics dashboards—seeing the structure evolve unlocks intuition.

Neural Network Visualizer

Full case study refresh is coming soon—treat this as an early snapshot while I finish polishing copy and assets.

This project turns raw model data into an interactive playground where you can watch layers activate, weights adjust, and metrics evolve in real time.

Architecture

Data streams from TensorFlow.js into a worker thread, which keeps the visualization buttery smooth even when training larger models.

Train model in TensorFlow.js
Stream weight matrices over postMessage
Render D3 force layout with WebGL-backed nodes

Feature Highlights

Animated force-directed graphs with gradient weight edges.
Epoch timeline scrubber with playback controls.
Heatmaps for layer activations.
WebGL instancing for fast node rendering.

Capturing a training session with node highlights and metric overlays.

const simulation = forceSimulation(nodes)
.force("link", forceLink(links).id((d) => d.id))
.force("charge", forceManyBody().strength(-120))
.force("center", forceCenter(width / 2, height / 2))

Launch the playground

Observability shouldn't stop at metrics dashboards—seeing the structure evolve unlocks intuition.

Neural Network Visualizer (Placeholder)

Quick Stats

Links

Architecture

Feature Highlights

Curious what others see or think

Neural Network Visualizer (Placeholder)

Quick Stats

Links

Architecture

Feature Highlights

Curious what others see or think