Vision Transformer Encoder
Patches alone do not see. A 12-layer pre-LN transformer with 12 attention heads turns the sequence of patch tokens into a sequence of contextual tokens, with the CLS token pooling whole-image features in its final hidden state. This lesson is the engine room of every modern vision-language model.
Visual edition planned
This lesson isn’t interactive yet.
It is part of the curriculum and will get the same treatment as Phase 1 — a visual cover, hands-on labs, derivations with numeric checks and a quiz. Until then, the original lesson is the best place to read it:
Part of Phase 19 — Capstone Projects. Use the previous / next cards below to keep browsing the phase.