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DL05 · Transformers

A free, illustrated L3 course of 11 modules in the Deep Learning track. Modules include: Self-attention from scratch; Multi-head attention; Positional information.

DL05 L3 · Advanced 11 modules · about 44 lessons Planned · Ring 2

Part of the Deep Learning track. Ships in Ring 2 (Spine) of the roadmap.

Modules

1. Self-attention from scratch
2. Multi-head attention
3. Positional information
4. The transformer block
5. Encoder, decoder and encoder-decoder variants
6. Tokenization with byte-pair encoding
7. Pretraining objectives
8. Vision transformers
9. Efficient attention and long context
10. Mixture of experts and other variants
11. Build and train a small GPT

Signature illustrations

The pictures a learner should still see in their head a year later:

Query, key and value matching, attention-matrix heatmaps, tensor shapes flowing through one block, the causal mask, positional-encoding stripes.

Status

This course is planned, not written yet. It ships with Ring 2 (Spine).

Every lesson will follow the same twelve-part blueprint with at least three purpose-made figures. Watch the repository to hear when modules ship, or help write and review it.