CS 4263 & 5483 : Deep Learning

Syllabus | Schedule | Resources

Spring 2021 Tentative Lecture Schedule by Week

Week Topics Chapter(s)
1 Introduction, Syllabus, Machine Learning review DLB 1-5
2 Evaluation, Implementation, Neural Networks DLB 6
3 Optimization, Training, Regularization DLB 7,8
4 Convolutional Neural Networks DLB 9
5 Generative CNNs DLB 20.6
6 Review, Exam 1
7 Recurrent Neural Networks DLB 10
8 SPRING BREAK
9 Improving RNNs
10 Adversarial Examples
11 Securing Deep Learning Models
12 Generative Adversarial Networks DLB 20.10.4
13 Improving GANs
14 Review, Exam 2
15 Advanced Topics, Thanksgiving
16 Research Presentations