Skip to main content

DL04 · Sequence Models

A free, illustrated L2 course of 8 modules in the Deep Learning track. Modules include: Sequence tasks and tokens; Recurrent networks; Backpropagation through time.

DL04 L2 · Intermediate 8 modules · about 32 lessons Planned · Ring 2

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

Modules

  1. Sequence tasks and tokens
  2. Recurrent networks
  3. Backpropagation through time
  4. LSTM and GRU
  5. Word embeddings
  6. Encoder-decoder models
  7. Attention in sequence-to-sequence models
  8. Beam search and decoding

Signature illustrations

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

Unrolled recurrent networks, flow through LSTM gates, projections of embedding space, attention alignment heatmaps, the beam-search tree.

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.

Back to top