In this project I wanted to explore methods for automate hyperparameter tuning, particularly in the context of deep learning, and share my results / thoughts / doubts
As of today, I have written a short introduction to bayesian hyperparameter tuning with hyperopt and I have made a first attempt in applying these methods to deep learning with the MNIST dataset.
Work is still in progress, feel free to reach out if you have remarks and questions!