| Date | Event | Description | Materials | Announcements |
|---|---|---|---|---|
| W; January 17 | Lecture 1 | Introduction to Machine Learning, Regression | Readings: Bishop (Chapter 1, Chapter 3: 3.1-3.2), Deep Learning Book (Chapter 4, Chapter 5) Links: Slides, Recording |
|
| F; January 19 | Recitation 1 | - | ||
| M; January 22 | Lecture 2 | Continue Introduction to Machine Learning, Regression | Readings: Bishop (Chapter 1, Chapter 3: 3.1-3.2), Deep Learning Book (Chapter 4, Chapter 5) Links: Slides, Recording |
|
| W; January 24 | Lecture 3 | Neural Networks I | Readings: Bishop (Chapter 5: 5.1-5.4), Deep Learning Book (Chapter 6) Links: Slides, Recording |
|
| F; January 26 | Recitation 2 | Probability Distributions | Links: Slides, Recording | |
| M; January 29 | Lecture 4 | Neural Networks II | Readings: Bishop (Chapter 5: 5.1-5.4), Deep Learning Book (Chapter 7) Links: Slides, Recording |
Course add deadline |
| W; January 31 | Lecture 5 | Convolutional Neural Networks I | Readings: Deep Learning Book (Chapter 9) Links: Slides, Recording |
HW1 Released |
| F; February 2 | Recitation 3 | Homework 1 Recitation | Links: Slides (w/ animation), Recording | |
| M; February 5 | Lecture 6 | Convolutional Neural Networks II / Start Graphical Models | Readings: Deep Learning Book (Chapter 9) Links: Slides, Recording |
|
| W; February 7 | Lecture 7 | Graphical Models: Directed Graphs | Readings: Bishop (Chapter 8) Links: Slides, Recording |
|
| F; February 9 | Recitation 4 | Pytorch and AWS | Links: Slides, Recording | |
| M; February 12 | Lecture 8 | Graphical Models, Undirected Graphs / RBMs | Readings: Bishop (Chapter 8) Links: Slides, Recording |
|
| W; February 14 | Lecture 9 | Restricted Boltzmann Machines (RBMs) | Readings: Deep Learning Book (Chapter 20.3) Links: Slides, Recording |
HW2 Released, HW1 Due |
| F; February 16 | Recitation 5 | Homework 2 Recitation | Links: Recording | |
| M; February 19 | Lecture 10 | Deep Belief Networks | Links: Slides, Recording | |
| W; February 21 | Lecture 11 | Autoencoders | Links: Slides, Recording | |
| F; February 23 | Recitation 6 | - | ||
| M; February 26 | Lecture 12 | Language Modelling | Links: Slides, Recording | Course drop deadline |
| W; February 28 | Lecture 13 | Graph Neural Networks: Guest Lecture from Minji Yoon | Links: Slides, Recording | HW2 Due |
| F; March 1 | Midterm Review | |||
| M; March 4 | NO CLASS (Spring Break) | |||
| W; March 6 | NO CLASS (Spring Break) | |||
| F; March 8 | NO CLASS (Spring Break) | |||
| M; March 11 | Lecture 14 | Sequence Models (Part 1) and Mid-term Review | Links: Slides, Recording | |
| W; March 13 | Lecture 15 | Sequence Models (Part 2), Transformers | Links: Slides A, Slides B, Recording | |
| F; March 15 | Recitation 7 | Recitation time used for mid-term exam | Mid-term exam | |
| M; March 18 | Lecture 16 | Variational Inference | Links: Slides, Recording | HW3 Part 1 Released, Midway Project Proposal Due |
| W; March 20 | Lecture 17 | Variational Autoencoders | Links: Slides, Recording | |
| F; March 22 | Recitation 8 | Homework 3 Part 1 Recitation | Links: Recording | |
| M; March 25 | Lecture 18 | Markov Chain Monte Carlo | Links: Slides, Recording | |
| W; March 27 | Lecture 19 | Generative Adversarial Networks / Normalizing Flows | Links: Slides, Recording | |
| F; March 29 | Recitation 9 | - | ||
| M; April 1 | Lecture 20 | Multimodal Language Models | Links: Slides, Recording | HW3 Part 1 Due |
| W; April 3 | Lecture 21 | Diffusion Models | Links: Slides, Recording | |
| F; April 5 | Recitation 10 | Homework 3 Part 2 Recitation | Links: Slides, Recording | |
| M; April 8 | Lecture 22 | Embodied AI: Language and Perception | Links: Slides, Recording | |
| W; April 10 | Lecture 23 | NO CLASS (Carnival April 13th-15th) | ||
| F; April 12 | No Recitation (Carnival April 13th-15th) | |||
| M; April 15 | Lecture 24 | Integrating Domain-Knowledge into Deep Learning | Links: Slides, Recording | |
| W; April 17 | Lecture 25 | Generative Models for Data Augmentation | Links: Slides, Recording | HW3 Part 2 Due |
| F; April 19 | Recitation 11 | TBD | Links: Slides, Recording | |
| M; April 22 | Lecture 26 | Capsules | Links: Slides, Recording | |
| W; April 24 | Lecture 27 | CANCELED: Time to work on projects | ||
| F; April 26 | Recitation 12 | TBA | Links: Slides, Recording | |
| W; May 8 | Final Grades due today 4:00pm |
* all announcement dates are tentative and subject to change