Speaker
Romain Ménégaux
Description
Goal: Describe the main types of deep learning architectures, and apply them to a concrete example from life sciences.
- Introduction: what is deep learning and why is everyone doing it?
- Overview of the main types of deep learning architectures: MLP, convolutional, and transformers. When to use one or the other?
- Overview of the different training and regularization techniques.
- Practical session on a simplified open-research problem.