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KerasTuner is an easy-to-use, scalable hyperparameter optimization framework that solves the pain points of hyperparameter search. Easily configure your search space with a define-by-run syntax, then leverage one of the available search algorithms to find the best hyperparameter values for your models. KerasTuner comes with Bayesian Optimization, Hyperband, and Random Search algorithms built-in, and is also designed to be easy for researchers to extend in order to experiment with new search algorithms.
Features
- KerasTuner requires Python 3.8+ and TensorFlow 2.0+
- Documentation available
- Import KerasTuner and TensorFlow
- Examples available
- Write a function that creates and returns a Keras model
- Start the search and get the best model
Project Samples
Categories
Machine LearningLicense
Apache License V2.0Follow KerasTuner
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