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[P] AdamWR Full Keras + TF-Keras Implementation Available

A followup to original post (pasted shortened below), with major changes; release v1.1:

  • Run-based weight decay normalization scheme, normalizing over arbitrary # of iterations independent of LR scheduler (e.g. over all epochs)
  • Full compatibility with TensorFlow 2.0.0 and Keras 2.3.0 (keras + tensorflow.keras)
  • Full compatibility with TensorFlow 1.14.0 and Keras 2.2.5 (keras + tensorflow.keras)
  • Also compatible w/ TF 1.13.0 & 1.15.0, Keras 2.2.3-2.2.4

For a complete list of changes, see release notes. Optimizers here.


The latest Lookahead optimizer paper, co-authored by Geoffrey Hinton, used AdamW as its base optimizer, and noted it performing superior to plain Adam.

NadamW and SGDW included, along their WR (Warm Restart) counterparts – with cosine annealing learning rate schedule, and per layer learning rate multipliers (useful for pretraining). All optimizers are well-tested, and for me have yielded 3-4% F1-score improvements in already-tuned models for seizure classification.

submitted by /u/OverLordGoldDragon
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.