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

KerasTuner Screenshot 1

Project Activity

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Categories

Machine Learning

License

Apache License V2.0

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Python

Related Categories

Python Machine Learning Software

Registered

2024-08-07
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