It supports RandomSearch, BayesianOptimization, and Hyperband. Can run locally or in a distributed setting. It's possible to have both multi-device single-model training (one machine training one model over 8 GPUs) and distributed search (many models in parallel) at the same time
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Now go win some Kaggle competitions with this
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It seems like you use sublime text
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@JaeDukSeo another kaggle comp? :P -
You already know!!!


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Looks really cool! Any work on integrating this with Tensorboard and the HParams dashboard?
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Yes, we are looking at it
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tf.keras or keras?
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Any plans to update your book with these latest cool features or maybe write a new one?
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I'm guessing this will only work with tf.keras since Keras itself is deprecated?
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