Keras Tuner is now out of beta! v1 is out on PyPI. https://keras-team.github.io/keras-tuner/ Fully-featured, scalable, easy-to-use hyperparameter tuning for Keras & beyond.pic.twitter.com/zUDISXPdBw
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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
Show this threadThanks. Twitter will use this to make your timeline better. UndoUndo
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Could one define one’s own search strategy?
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Just, by subclassing the Oracle class you can create your own hyperparameter search algorithms.
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