AWS – Amazon SageMaker Automatic Model Tuning now provides up to 3x faster hyperparameter tuning with Hyperband as a new search strategy

Amazon SageMaker Automatic Model Tuning allows you to find the most accurate version of your machine learning model by searching for the optimal set of hyperparameter configurations. SageMaker Automatic Model Tuning now supports Hyperband, a new search strategy that can find the optimal set of hyperparameters up to 3x faster than Bayesian search for large-scale models such as deep neural networks that address computer vision problems.

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