DS 4440 - Spring 2024 - Practical Deep Networks

Tuesdays 11:45 AM - 1:25 PM and Thursdays 2:50 PM - 4:30 PM, Shillman Hall 420. Class meetings are in-person, and will sometimes be on zoom at this link.

Professor: David Bau davidbau@northeastern.edu. Office Hours: before class, 10:30am Tuesdays, near the lecture hall

TAs:
Eric Todd todd.er@northeastern.edu. Help hours: Wednesdays 10am-1pm, Fridays 3:30-4:30pm (zoom link)
Arnab Sen Sharma sensharma.a@northeastern.edu. Help hours: Mondays 4-6pm (zoom link)

Sign up for Piazza here. Hand in reading questions (the day before class) and class notebooks (after class) on Canvas here. Homeworks will go to gradescope here.

Summary

Grading

Class participation: 40 points. In-class participation and notebooks. There will be points for submitting questions on nightly (before-class) reading, and for submitting in-class notebooks, about 20 each.

Homework: 40 points. Programming and calculation exercises. Homeworks will be jupyter notebooks to be worked through by students individually, due to be submitted online every two weeks at 11AM before class when they are due. Late homework submissions will be accepted but will lose points per day late, no points after a week. 10 points per homework.

Midterm: 40 points. A written exam about foundational methods. Closed-book.

Final Project: 40 points. A project to solve a problem by training and evaluating a deep network. Done by groups of 2 students (3 with permission). We may choose a contest activity for this.

Books

There is no textbook for the class. Slides of material we have covered are linked below. There are original-research paper readings, linked below.

For those looking for a good reference book covering similar material, here are some good ones I recommend. Both are available online.

• Fleuret's Little Book of Deep Learning
• Dive into Deep Learning

Calendar