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Lecture Schedule
Introduction to Generative AI
- Date
-
- Lecture
-
- Speaker
- Reading
- Feb 03
-
- Lecture 01 Logistics & AI basics
-
- Bonnie Berger
- 1.1
- Feb 05
-
- Lecture 02 Deep learning fundamentals
- Bonnie Berger
- Feb 10
- Lecture 03 Transformers & Attention
- Feb 12
- Lecture 04 Generative AI
Nuts & boltz of biological deep learning
- Date
-
- Lecture
-
- Speaker
- Reading
- Feb 03
-
- Lecture 05 Language models for proteins
-
- Bonnie Berger
- 1.1
- Feb 05
- Lecture 06 Neural nets: under the hood
- Feb 10
- Lecture 07 Neural nets 2, Applications in biology
- Feb 12
- Lecture 08 Variational Autoencoders (VAEs)
- Feb 12
- Lecture 09 CNNs for DNA
- Feb 12
- Lecture 10 Training deep networks
- Feb 12
- Lecture 11 Transformers
- Feb 12
- Lecture 12 Graph neural networks
- Feb 12
- Lecture 13 Diffusion generative models I
- Feb 12
- Lecture 14 Diffusion generative models II