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[P] AdamWR Keras Full Implementation Available

The latest Lookahead optimizer paper, co-authored by Geoffrey Hinton, used AdamW as its base optimizer, and noted it performing superior to plain Adam. To the best of my knowledge, no complete implementation of AdamW in Keras existed – until now, by me:

Keras AdamW

It includes NadamW and SGDW, and 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. Up to date with Keras 2.3.0.

I recommend giving it a go. Any feedback is welcome.

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.