Hyperparameter Optimization with Keras – Towards Data Science

With the right process in place, it will not be difficult to find state-of-the-art hyperparameter configuration for a given prediction task. Out of the three approaches -- manual, machine-assisted, and algorithmic -- this article will focus on machine-assisted. The article will cover how I do it, get to the proof that the method works, and provide the understanding of why it works. The main principle is simplicity. The first point about performance relates to the issue of accuracy (and other more robust metrics) as a way to measure model performance.