Viewing material for lectures (updated)

Dear Students,

The mandatory viewing material for each week of this semester is as follows.

In each of the lecture links below, only the main video is mandatory. These lectures represent the core material of the course. Anything marked as “supplementary” is optional unless otherwise noted.

The in-class (zoom) lectures are now also optional. They will be 1h long and only present more advanced topics and new research in the field.

• 22/10/2020: Introduction (🔗)
• 29/10/2020: Supervised learning (🔗)
• 05/11/2020:
  • Neural networks, CNNs (🔗).
  • Slides 29-40 from the first supplemental slide deck (linear models).
• 12/11/2020: Training (🔗)
• 19/11/2020: None
• 26/11/2020: Sequence models (🔗)
• 03/12/2020: None
• 10/12/2020: Unsupervised learning (🔗)
• 17/12/2020: None
• 24/12/2020: Deep reinforcement learning (🔗)
• 31/12/2020: Non-euclidean domains (🔗)
• 07/01/2021: None
• 14/01/2021: Parallel architectures I (🔗)
• 21/01/2021: Parallel architectures II (🔗)

Thanks,
Course staff.