Artificial Neural Networks
April 22 - Week 14
Tabular Reinforcement Learning.
Suggested Reading:
Submit any questions you may have to the discussion forum for Week 14.
Contact the members of your group for Project 3:
Begin work on Project 3.
April 15 - Week 13
Transformers and Introduction to Reinforcement Learning.
Suggested Reading:
Aggarwal, Sections 12.2.4 - 12.2.2.6 and Chapter 11
Bishop, Chapter 12
Drori, Chapters 8 and 11
Plaat, Chapter 2
Prince, Chapters 12 and 19
Submit any questions you may have to the discussion forum for Week 13.
Prepare for the Quiz on April 22.
April 1 - Week 11
No class meeting this week - Spring Recess.
March 25 - Week 10
Recurrent Neural Networks.
Suggested Reading:
Submit any questions you may have to the discussion forum for Week 10.
Prepare for the quiz on April 8.
Contact the members of your group for Project 2:
Begin work on Project 2.
March 4 - Week 7
Backpropagation and Regularization.
Suggested Reading:
Aggarwal, Chapters 2 and 5
Bishop, Chapters 8 and 9
Drori, Chapters 2 and 4
Prince, Chapters 7, 9, and 11
Prepare for the quiz on March 11.
Submit any questions you may have to the discussion forum for Week 7.
Contact the members of your group for Project 1:
Begin work on Project 1.
February 19 - Week 5
No class meeting - Presidents' Day.
January 29 - Week 2
Introduction.
Read the Syllabus.
Read How to Read a Math Textbook from the Macalester College Academic Excellence Center.
Choose some of the books recommended in the Syllabus, and find and read the sections corresponding to this week's lecture content.
Tip: start with The Little Book of Deep Learning, then explore other books listed in the Syllabus.
Submit any questions you may have to the discussion forum for Week 2.
January 22 - Week 1
No class meeting - see the Student Strike FAQ for more information.