Deep Learning

This session covers the theory and practice of deep learning. We will discuss architectures and the training process of neural networks and take a closer look at the implementation and training of a neural network for regression in a practical exercise using pytorch and doing hyperparameter optimization with optuna.

Alternative libraries for hyperparameter optimization and more:

• Ray with Ray Tune

• Hyperopt

• scikit-optimize

You can download the slides here