Keras – Hyperparameter Tuning for Humans

Note: the purpose of having multiple executions per trial is to reduce results variance and therefore be able to more accurately assess the performance of a model. If you want to get results faster, you could set (single round of training for each model configuration). You can print a summary of the search space:

Then, start the search for the best hyperparameter configuration.

Source: github.com