Geometric Deep Learning Course (GDL100)

The African Master’s in Machine Intelligence (AMMI) has launched the GDL100 course on Geometric Deep Learning (GDL), which is based on the contents of the GDL proto-book.

This comprehensive online course is designed to provide in-depth knowledge of geometric principles in deep learning. All course materials, including recordings and slides from each lecture, are made publicly available for educational purposes and to enrich the proto-book's future iterations.

The course encompasses a series of lectures and tutorials delivered by esteemed educators like Michael M. Bronstein, Joan Bruna, Taco Cohen, and Petar Veličković. It also includes engaging seminars on current topics such as protein structure prediction with AlphaFold and the applications of graph neural networks.

Materials:
- 12 Lectures on core GDL topics
- 3 Tutorials with Colab notebooks
- 5 Seminars on advanced topics and applications

A 3.5 hour interview between
Machine Learning Street Talk and the leaders in the Geometric Deep Learning field: https://youtu.be/bIZB1hIJ4u8?si=MPM7yfQxOAmsoMK1

Categories : Machine Learning

Press Ask Flow below to get a link to the resource

Ask Flow