uwloo

SYDE 577Deep Learning

Units
0.50
Faculty
Engineering
Subject
Systems Design Engineering

When it runs

  1. F24
  2. W25
  3. S25
  4. F25
  5. W26
  6. S26
  7. F26
  8. W27
  9. S27

Ran in 4 of the last 7 terms. Winter 2027: not on the schedule. Spring 2027: schedule not out yet.

Introduction to deep learning. Regression and classification; backpropagation; convolutional and recurrent networks; optimization and regularization of deep networks; transformers; recent developments in the field.

Prerequisites

  • Complete all of the following
    • Students must be in level 3A or higher
    • Complete 1 of the following

Antirequisites

  • Not completed nor concurrently enrolled in:

Leads to

No course lists it as a requisite.

Fall 2026 sections

Enrolment from UW Open Data, which can trail Quest by up to two days. Instructors and rooms: Schedule of Classes.
SectionClassEnrolledMeets
LEC 001535450 / 50M 09:00–10:50
F 13:30–14:20
TUT 101535550 / 50F 14:30–15:20

Reviewed on UW Flow

100% liked it25% easy88% useful

From 4 ratings and 2 comments on UW Flow. The most helpful comments, quoted as written, without names. Read them all on UW Flow.

  • Very useful content and the professor's lectures are very engaging. There were optional tutorials to enhance our understanding and the assignments were fair.
    The project was challenging. We were given a default choice of deep learning problem to solve, which was a specific challenge on kaggle. The default challenge was extremely difficult, and none of us were expected to have a fully-completed competition entry, which made expectations for assessment very difficult to manage.
    The exam was extremely difficult, using highly specific detail instead of covering a broader scope of topics. It was also extremely long, requiring us to answer a minimum of 25 medium length questions, some…

    Dec 2025 · liked itOn UW FlowRemove this

  • Taught by Bryan Tripp. Overall it's not a bad course, you learn a ton of different and useful concepts like neural networks, backpropagation, CNNs, and transformers. I feel like the main shortcomings are from the prof, he's not very engaging and it feels like he himself does not know the content all that well. He basically reads off the slides and is really quiet and disengaging, and can barely answer any questions from students effectively. He has these in-class activities for people to try and apply what they learned (not graded) but he doesn't give any guidance at all and only sometimes shows the solutions for how to implement them. We had two assignments, one was to implement…

    Dec 2024 · liked itOn UW FlowRemove this

Check it elsewhere for Fall 2026

Calendar versions

Undergraduate Calendar