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google-research/tuning_playbook

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A playbook for systematically maximizing the performance of deep learning models.

12 mentions on Hacker News by 12 people: 6 stories, 6 comments · first 2023-01-19 · latest 2025-08-22

Mentions per year 12 mentions · busiest year 2023 (5)
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  1. ▲ 1
    Deep Learning Tuning Playbook
    story by sonabinu · 2025-08-22 · 0 comments
  2. You might find this helpful for prioritizing which knobs to turn first https://github.com/google-research/tuning_playbook
  3. ▲ 2
    Playbook for maximizing the performance of deep learning models
    story by Anon84 · 2025-03-22 · 0 comments
  4. Maybe this will help: https://github.com/google-research/tuning_playbook
  5. ▲ 1
    How to tune your DL models?
    story by Exorust · 2025-01-07 · 0 comments
  6. I think you might want to read the Tuning Playbook if you haven't already. https://github.com/google-research/tuning_playbook
  7. …numbers. Despite games, another use case is for hyperparameter search for neural networks. https://github.com/google-research/tuning_playbook?tab=readm...
  8. …with Hyperband [3] for DL. [1] https://wires.onlinelibrary.wiley.com/doi/full/10.1002/widm.... [2] https://github.com/google-research/tuning_playbook [3] https://jmlr.csail.mit.edu/papers/v18/16-558.html
  9. …the same final performance should be attainable using any batch size (see Shallue et al. 2018). https://github.com/google-research/tuning_playbook#choosing-... The ideal case is full-batch with tuneable regularisation, just the hardware…
    comment by DougBTX · 2023-04-14 · in Beyond automatic differentiation
  10. ▲ 175
    Deep learning tuning playbook
    story by tehnub · 2023-01-20 · 8 comments
  11. ▲ 2
    Deep Learning Tuning Playbook
    story by hexhowells · 2023-01-19 · 0 comments
  12. ▲ 3
    Google Research – Deep Learning Tuning Playbook
    story by rainboiboi · 2023-01-19 · 0 comments