Fall 2024 - UTM - CSC 413: Neural Networks and Deep Learning

This page contains an outline of the topics, content, and assignments for the semester. Note that this schedule will be updated as the semester progresses, with all changes documented here.

Week	Date	Topic	Prepare	Slides	Recordings	Labs	Quiz	Assignments	Tests	Project
1	Sept 2-6	Linear Model	📖	🖥️	🎥
2	Sept 9-13	Multi-Layer Perceptron, Backpropagation, Losses	📖	🖥️	🎥	💻	📋
3	Sept 16-20	Automatic Differentiation, Distributed Representation	📖	🖥️	🎥	💻	📋
4	Sept 23-27	Convolutional Neural Networks	📖	🖥️	🎥	💻	📋	✍️
5	Oct 1-4	Optimization	📖	🖥️	🎥	💻	📋
6	Oct 7-11	Generalization	📖	🖥️	🎥	💻	📋
7	Oct 14-18	Interpreting Convolutional Neural Networks	📖	🖥️	🎥			✍️	✅
8	Oct 21-25	Recurrent Neural Networks	📖	🖥️		💻	📋
9	Oct 28-Nov 1	Fall Reading Week	📖
10	Nov 4-8	Attention and Transformers	📖	🖥️	🎥	💻				📂
11	Nov 11-15	Autoencoders and Transpose Convolutions	📖	🖥️	🎥		📋		✅
12	Nov 18-22	Generative Adversarial Networks	📖	🖥️	🎥	💻
13	Nov 25-29	Use of Deep Learning in the Research of Profs Shkurti and Gilitschenski	📖	🖥️	🎥	💻
14	Dec 2-6	Final project submission	📖							📂