EE 541: A Computational Introduction to Deep Learning
University of Southern California, Spring 2026
Schedule
Week 1
| Jan 12 |
Demo 1Demos
Homework 1Homework 1
Reading 1Reading 1
|
No class, Martin Luther King Jr. Day
Week 2
| Jan 26 |
Lecture 2Python Fundamentals
Homework 2Homework 2
Reading 2Reading 2
|
Week 3
| Feb 2 |
Lecture 3MMSE Estimation and Prediction
Demo 3Demos
Homework 3Homework 3
Reading 3Reading 3
|
Week 4
| Feb 9 |
Demo 4Demos
Homework 4Homework 4
Reading 4Reading 4
|
No class, Presidents' Day
Week 5
| Feb 23 |
Homework 5Homework 5
Reading 5Reading 5
|
Week 6
| Mar 2 |
Homework 6Homework 6
Reading 6Reading 6
|
Week 7
| Mar 9 |
Quiz 1Weeks 1--6
|
No class, Spring Break
Week 8
| Mar 23 |
Lecture 6Backpropagation
Homework 7Homework 7
Reading 8Reading 8
|
Week 9
| Mar 30 |
Lecture 7PyTorch: Introduction
Homework 8Homework 8
Reading 9Reading 9
|
Week 10
| Apr 6 |
Lecture 8PyTorch: Building MLPs
Homework 9Homework 9
Reading 10Reading 10
|
Week 11
| Apr 13 |
Lecture 9Project Overview. Convolutional Neural Networks (CNN)
Reading 11Reading 11
ProjectProject Overview
|
|
| Apr 17 |
ProjectProject Proposal Due
|
Week 12
| Apr 20 |
Lecture 10Convolutional Architectures
Lecture 11PyTorch: Optimizing Training. Data Engineering
Reading 12Reading 12
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Week 13
| Apr 27 |
Lecture 12Auto-encoders and Embedding. Recurrent Neural Networks (RNN)
Reading 13Reading 13
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Week 14
| May 4 |
Quiz 2Weeks 8--13
|
|
| May 8 |
ProjectProject Deliverables Due (17:00)
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