François Chollet on Twitter: "Tip: if you want smarter hyperparameter tuning, try CloudTuner, a KerasTuner tuner that is backed by Google's Vizier API. Vizier is Google's own blackbox optimization algo, internal-only for a long time, but recently made available as a cloud service https://t.co/zCKjRx46YD… https://t.co/6beE1wYNCt"

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Tip: if you want smarter hyperparameter tuning, try CloudTuner, a KerasTuner tuner that is backed by Google's Vizier API. Vizier is Google's own blackbox optimization algo, internal-only for a long time, but recently made available as a cloud service https://github.com/tensorflow/cloud/blob/master/src/python/tensorflow_cloud/tuner/README.md …pic.twitter.com/murtA0SCpj

12:01 PM - 29 Oct 2020

86 Retweets
558 Likes

6 replies 86 retweets 558 likes

1. gabe_grand‏ @gabe_grand 29 Oct 2020
  Replying to @fchollet
  
  I remember Vizier! Good times :) It's awesome that Google is making it available more broadly
  
  2 likes
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1. Gerard Casas Saez‏ @casassaez 29 Oct 2020
  Replying to @fchollet
  
  Are there any benchmark on Vizier vs OSS alternatives?
  
  3 likes
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1. Danilo Menegatti‏ @TheIceMenny 29 Oct 2020
  Replying to @fchollet
  
  Is there a way to implement NeuralODEs in Keras?
  
  1 like
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1. Florian Soudan‏ @FSoudan 29 Oct 2020
  Replying to @fchollet
  
  Is it still 1 training with multi GPU (multi process) or multiple training (multiple jobs in GCP)?
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1. Anup‏ @adroit_91 29 Oct 2020
  Replying to @fchollet
  
  Hi @fchollet Any reference implementation for processing a huge workload of images from storage? Just inference, but as optimised as possible?
  Thanks. Twitter will use this to make your timeline better. Undo
  
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1. Sandeep Sharma‏ @sandeepkaushik 30 Oct 2020
  Replying to @fchollet
  
  Is there a way to optimize for model size through distillation, pruning and quantization?
  Thanks. Twitter will use this to make your timeline better. Undo
  
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