EE 641: Deep Learning Systems

University of Southern California, Fall 2025

Schedule

Week 1

Aug 27

Lecture 1Introduction, PyTorch, and deep learning review. Advanced CNN architectures and applications.

Homework 0HW 0 assigned

Week 2 / 3

Sep 3

Lecture 2Object Detection and Segmentation

Homework 1Multi-Scale Detection and Spatial Regression

Week 4

Sep 17

Lecture 3Generative Models: Energy-Based Models, GANs, and VAEs

Week 5

Sep 24

Lecture 4Recurrent Neural Networks and Sequence-to-Sequence Models

Homework 2Generative Adversarial Networks and Variational Autoencoders

Week 6

Oct 1

Lecture 5Attention Mechanisms

Week 7

Oct 8

ExamExam #1 (weeks 1-6)

Week 8

Oct 15

Lecture 6Self Attention and Transformers.

Homework 3Attention Mechanisms and Transformers

Week 9

Oct 22

ProjectProject Overview

Week 10

Oct 29	Lecture 7Reinforcement learning principles.
Oct 31	ProjectDraft project proposal due

Week 11

Nov 5	Project proposal meetings
Nov 7	ProjectRevised project proposal due

Week 12

Nov 12

Lecture 9Reinforcement learning applications

Homework 4HW 4 assigned

Week 13

Nov 19	ExamExam #2 (weeks 8-12)
Nov 22	ProjectStatus report due

No class, Thanksgiving Holiday (Nov 26)

Week 14

Dec 3

Project presentations (mandatory) - EXTENDED TIME

Project deliverables due Sunday, December 7 at 23:59