Time and Location:
Monday, Wednesday 1:30  2:50pm, GHC 4401 Rashid Auditorium
Class Videos:
Class videos will be available here
Event  Date  Description  Materials and Assignments 

Lecture 1  Jan 14 
Machine Learning: Introduction to Machine Learning, Regression 
Reading: Bishop: Chapter 1, Chapter 3: 3.13.2 Deep Learning Book: Chapters 4 and 5. Class Notes [pdf] 
Lecture 2  Jan 16 
Machine Learning: Continue Introduction to Machine Learning, Regression. 
Reading: Bishop: Chapter 1, Chapter 3: 3.13.2 Deep Learning Book: Chapters 4 and 5. Class Notes [pdf] 
Jan 21  No class  
Lecture 3  Jan 23  Probability Distributions 
Reading: Bishop: Chapter 2, sec. 2.12.4 Deep Learning Book: Chapter 3 Class Notes [pdf] 
Lecture 4  Jan 28  Neural Networks I 
Reading: Bishop, Chapter 5: sec. 5.1  5.4 Deep Learning Book: Chapter 6 Class Notes [pdf] 
Jan 30  No class  
Lecture 5  Feb 4  Neural Networks II 
Reading: Bishop, Bishop Chapter 5, sec. 5.1  5.4 Deep Learning Book: Chapter 7 Class Notes [pdf] 
Lecture 6  Feb 6  Convolutional Neural Networks I 
Reading: Deep Learning Book: Chapter 9 Class Notes [pdf] 
Lecture 7  Feb 11  Convolutional Neural Networks II 
Reading : Deep Learning Book: Chapter 9 Class Notes [pdf] 
Lecture 8  Feb 13  Graphical Models 
Reading: Bishop, Chapter 8 Class Notes [pdf] 
Lecture 9  Feb 18  Graphical Models, continue  Reading: Bishop, Chapter 8 Class Notes [pdf] 
Lecture 10  Feb 20  Autoencoders  Reading: Deep Learning Book, Chapter 14 Class Notes [pdf] 
Lecture 11  Feb 25  Sparse Coding  Reading: Deep Learning Book, Chapter 13 Class Notes [pdf] 
Lecture 12  Feb 27  Guest Lecture  
Lecture 13  March 4  Language Modeling.  Reading: Deep Learning Book, Chapters 10, 12.4 Class Notes [pdf] 
Lecture 14  March 6  Sequence to Sequence Models, Part 1  Reading: Deep Learning Book, Chapter 10 Class Notes [pdf] 
Lecture 15  March 18  Sequence to Sequence Models, Part 2  Reading: Deep Learning Book, Chapter 10 Class Notes [pdf] 
Lecture  March 20  No Classes  
Lecture 16  March 25  Deep Belief Networks  Reading: Deep Learning Book, Chapter 20.3 Class Notes [pdf] 
Lecture 17  March 27  Variational Inference  Reading: Deep Learning Book, Chapter 19 Class Notes [pdf] 
Lecture 18  April 1  Variational Autoencoders  Reading: Deep Learning Book, Chapter 20 Class Notes [pdf] 
Lecture 19  April 3  Deep Boltzmann Machines I  Reading: Deep Learning Book, Chapter 20.420.6 Class Notes [pdf] 
Lecture 20  April 8  Deep Boltzmann Machines II  Reading: Deep Learning Book, Chapter 20.420.6 Class Notes [pdf] 
Lecture 21  April 10  Generative Adversarial Networks  Reading: Deep Learning Book, Chapter 20.10 Class Notes [pdf] 
Lecture 22  April 15  Representation Learning for Reading Comprehension  Class Notes [pdf] 
Lecture 23  April 17  Integrating DomainKnowledge into Deep Learning  Class Notes [pdf] 
Lecture 24  April 22  Memory for Deep Reinforcement Learning  Class Notes [pdf] 
Lecture 25  April 24  Attention Models for Video Understanding  Class Notes [pdf] 
Lecture 26  April 29  Language Grounding and Active Neural Localization  Class Notes [pdf] 
Tentative Dates:Check Piazza for updates:
 
Books:
