Date  Event  Description  Materials  Announcements* 

Monday, Jan 16  NO CLASS (Martin Luther King Day)  
Wednesday, Jan 18  Lecture 1  Introduction to Machine Learning, Regression  Readings: Bishop (Chapter 1, Chapter 3: 3.13.2), Deep Learning Book (Chapter 4, Chapter 5) Lecture: slides, recording 

Friday, Jan 20  Recitation 1  TBD  
Monday, Jan 23  Lecture 2  Continue Introduction to Machine Learning, Regression  Readings: Bishop (Chapter 1, Chapter 3: 3.13.2), Deep Learning Book (Chapter 4, Chapter 5) Lecture: slides, recording 

Wednesday, Jan 25  Lecture 3  Neural Networks I  Readings: Bishop (Chapter 5: 5.15.4), Deep Learning Book (Chapter 6) Lecture: slides, recording 

Friday, Jan 27  Recitation 2  Probability Distributions  Recitation: slides, recording  
Monday, Jan 30  Lecture 4  Neural Networks II  Readings: Bishop (Chapter 5: 5.15.4), Deep Learning Book (Chapter 7) Lecture: slides, recording 
Course add deadline 
Wednesday, Feb 1  Lecture 5  Convolutional Neural Networks I  Readings: Deep Learning Book (Chapter 9) Lecture: slides, recording 
HW1 out 
Friday, Feb 3  Recitation 3  Homework 1 Recitation  Recitation: slides, recording  
Monday, Feb 6  Lecture 6  Convolutional Neural Networks II / Start Graphical Models  Readings: Deep Learning Book (Chapter 9) Lecture: slides, recording 

Wednesday, Feb 8  Lecture 7  Graphical Models: Directed Graphs  Readings: Bishop (Chapter 8) Lecture: slides, recording 

Friday, Feb 10  Recitation 4  Pytorch and AWS  
Monday, Feb 13  Lecture 8  Graphical Models, Undirected Graphs / RBMs  Readings: Bishop (Chapter 8) Lecture: slides, recording 

Wednesday, Feb 15  Lecture 9  Restricted Boltzmann Machines (RBMs)  Readings: Deep Learning Book (Chapter 20.3) Lecture: slides, recording 
HW1 due; HW 2 out 
Friday, Feb 17  Lecture 10  Deep Belief Networks  Readings: Deep Learning Book (Chapter 20.3) Lecture: slides, recording 

Monday, Feb 20  Recitation 5  Homework 2 Recitation  
Wednesday, Feb 22  Lecture 11  Autoencoders  Readings: Deep Learning Book (Chapter 14) Lecture: slides, recording 

Friday, Feb 24      
Monday, Feb 27  Lecture 12  Graph Neural Networks: Guest Lecture from Minji Yoon  Lecture: slides, recording  Semester course drop deadline 
Wednesday, Mar 1  Lecture 13  Language Modeling  Readings: Deep Learning Book (Chapter 10 and Chapter 12: 12.4) Lecture: slides, recording 
HW2 due 
Friday, Mar 3  Recitation 6  TBD  Midway report due  
Monday, Mar 6  NO CLASS (Spring Break)  
Wednesday, Mar 8  NO CLASS (Spring Break)  
Friday, Mar 10  NO CLASS (Spring Break)  
Monday, Mar 13  Lecture 14  Sequence Models (Part 1) and Midterm Review  Readings: Deep Learning Book (Chapter 10) Lecture: slides (MCMC), slides (review), recording 

Wednesday, Mar 15  Lecture 15  Sequence Models (Part 2), Transformers  Readings: Deep Learning Book (Chapter 10) Lecture: slides, recording 

Friday, Mar 17  Recitation 7  Recitation time used for midterm exam  Midterm exam  
Monday, Mar 20  Lecture 16  Variational Inference  Readings: Deep Learning Book (Chapter 19) Lecture: slides, recording 
HW3P1 out 
Wednesday, Mar 22  Lecture 17  MultiModal Learning: Guest Lecture from Paul Pu Liang  Readings: TBA Lecture: slides, recording 

Friday, Mar 24  Recitation 8  Homework 3 Part 1 Recitation  
Monday, Mar 27  Lecture 18  Variational Autoencoders  Readings: Deep Learning Book (Chapter 20) Lecture: slides, recording 

Wednesday, Mar 29  Lecture 19  Markov Chain Monte Carlo  Readings: TBD Lecture: slides, recording 

Friday, Mar 31  Recitation 9  TBD  
Monday, Apr 3  Lecture 20  Generative Adversarial Networks / Normalizing Flows  Readings: Deep Learning Book (Chapter 20: 20.10) Lecture: slides, recording 
HW3P1 due; Pass/Fail grade option deadline 
Wednesday, Apr 5  Lecture 21  Diffusion Models  Readings: TBD Lecture: slides, recording 
HW3P2 out 
Friday, Apr 7  Recitation 10  Homework 3 Part 2 Recitation  Readings: TBD Lecture: slides, recording 

Monday, Apr 10  Lecture 22  Representation Learning for Reading Comprehension  Readings: TBD Lecture: slides, recording 

Wednesday, Apr 12  Lecture 23  Embodied AI: Language and Perception  Readings: TBD Lecture: slides, recording 

Friday, Apr 14  NO CLASS (Carnival April 13th15th)  
Monday, Apr 17  Lecture 24  Integrating DomainKnowledge into Deep Learning  Readings: TBD Lecture: slides, recording 

Wednesday, Apr 19  Lecture 25  Generative Models for Data Augmentation  Readings: TBD Lecture: slides, recording 
HW3P2 due 
Friday, Apr 21  Recitation 11  TBD  
Monday, Apr 24  Lecture 26  Capsules  Readings: TBD Lecture: slides, recording 

Wednesday, Apr 26  Lecture 27  Introduction to Reinforcement Learning  Final report due  
Friday, Apr 28  TBA  TBA 
* all announcement dates are tentative and subject to change