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Deep Learning

Training Deep Nets: Optimisers, Normalisation, Residuals

Adam, LayerNorm, residual connections and learning-rate schedules.

Advanced 20 min For: Researchers ✎ In progress

✎ This lesson is still being written. Below is the planned outline; it is not indexed by search engines yet.

What this lesson will cover

  1. SGD vs Adam
  2. Normalisation layers
  3. Residual connections
  4. Learning-rate warm-up and decay

Part of these paths

Data updated: Learn AI curriculum · Lesson news(UTC+8)