Hyperparameter tuning for Deep Learning with scikit-learn, Keras, and TensorFlow - PyImageSearch

In this tutorial, you will learn how to tune the hyperparameters of a deep neural network using scikit-learn, Keras, and TensorFlow. Optimizing your hyperparameters is critical when training a deep neural network. There are many knobs, dials, and parameters to a network -- and worse, the networks themselves are not only challenging to train but also slow to train as well (even with GPU acceleration). Failure to properly optimize the hyperparameters of your deep neural network may lead to subpar performance. Luckily, there is a way for us to search the hyperparameter search space and find optimal values automatically -- we will cover such methods today.