Vision & Language Labs
Age 20 · Deep learning, CV & NLP for internships · 13 chapters
Second-year Campus track — internship-ready projects.
Why deep learning works
Aanya and Vihaan reach a new challenge: "Why deep learning works". Think about face recognition.
Pixel beeps: "Don't just read about it — let's learn by DOING. Try the demo below! "
Layers learn features. Deep networks stack many layers; early layers learn simple features and later layers combine them into complex concepts — no hand-crafting needed.
Data & compute. Deep learning shines with lots of data and GPU compute. With little data, simpler models often win.
Early layers find edges, middle layers find eyes and noses, final layers recognise a whole face.
Tap a Cat, then tap the Cat box.
Deep networks learn features…
- Layers learn features
- Data & compute
Finish the demo and practice above to continue.