Attention

Interactive attention mechanism explorer: compute self-attention QKV matrices step-by-step, visualize multi-head attention weight heatmaps, and understand positional encoding.

Self-AttentionTransformerPositional

OPEN INTERACTIVE LAB ↗

What you'll explore

✓Attention mechanism
✓Transformer visualization
✓Self-attention
✓Multi-head attention
✓Positional encoding
✓Transformer architecture

About this lab

Interactive attention mechanism explorer: compute self-attention QKV matrices step-by-step, visualize multi-head attention weight heatmaps, and understand positional encoding. This simulation runs entirely in your browser — no installation, no account required, no data uploaded.

Part of the Deep Learning Labs track — 8 labs covering the full curriculum.

PLATFORM FEATURES

✓ Runs 100% in browser — no server, no installs

✓ Adjustable parameters with real-time output

✓ Privacy-first: zero data collection or uploads

✓ Blockchain-verifiable experiment logs on Polygon

✓ Free to use — open to everyone