EE 541: A Computational Introduction to Deep Learning
University of Southern California, Fall 2026
Schedule
Week 1
| Aug 24 |
Demo 1Demos
Homework 1Homework 1
Reading 1Reading 1
|
Week 2
| Aug 31 |
Lecture 2Python Fundamentals
Homework 2Homework 2
Reading 2Reading 2
|
No class, Labor Day
Week 3
| Sep 14 |
Lecture 3MMSE Estimation and Prediction
Demo 3Demos
Homework 3Homework 3
Reading 3Reading 3
|
Week 4
| Sep 21 |
Lecture 4Regression, Maximum Likelihood, and Information Theory
Demo 4Demos
Homework 4Homework 4
Reading 4Reading 4
|
Week 5
| Sep 28 |
Lecture 5Classification and Logistic Regression
Homework 5Homework 5
Reading 5Reading 5
|
Week 6
| Oct 5 |
Lecture 6Backpropagation
Homework 6Homework 6
Reading 6Reading 6
|
Week 7
| Oct 12 |
Quiz 1Weeks 1--6
|
Week 8
| Oct 19 |
Lecture 7PyTorch: Introduction
Homework 7Homework 7
Reading 8Reading 8
|
Week 9
| Oct 26 |
Lecture 8PyTorch: Building MLPs
Homework 8Homework 8
Reading 9Reading 9
|
Week 10
| Nov 2 |
Lecture 9Convolutional Neural Networks (CNN)
Homework 9Homework 9
Reading 10Reading 10
|
Week 11
| Nov 9 |
Lecture 10Convolutional Architectures
Reading 11Reading 11
ProjectProject Overview
|
|
| Nov 13 |
ProjectProject Proposal Due
|
Week 12
| Nov 16 |
Lecture 11PyTorch: Optimizing Training. Data Engineering
Reading 12Reading 12
|
Week 13
| Nov 23 |
Lecture 12Auto-encoders and Embedding. Recurrent Neural Networks (RNN)
Reading 13Reading 13
|
Week 14
| Nov 30 |
Quiz 2Weeks 8--13
|
|
| Dec 6 |
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