Schedule#
The course schedule is updated regularly. Please check it frequently for the latest information.
Last update: (9/30/2024)
Week 1 (Mon, Aug 26 - Sun, Sep 1)#
Time |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
---|---|---|---|---|---|
9:30am-11:30am |
Office hours |
||||
2:00pm-3:20pm |
No class |
Lecture: Course Introduction and History of Deep Learning |
Week 2 (Mon, Sep 2 - Sun, Sep 8)#
Time |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
---|---|---|---|---|---|
9:30am-11:30am |
Office hours |
||||
2:00pm-3:20pm |
Lecture: Implementing a perceptron learning algorithm in Python |
Lecture: Machine Learning classifier for supervised learning |
Assignment 0 (assigned Sep 3; due Sep 7) |
Week 3 (Mon, Sep 9 - Sun, Sep 15)#
Time |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
---|---|---|---|---|---|
9:30am-11:30am |
Office hours |
||||
2:00pm-3:20pm |
Lecture: Data Preprocessing |
Lecture: Regularization |
Readings for Sep 10 and Sep 12 Lectures: Raschka, Chap. 4 |
Week 4 (Mon, Sep 16 - Sun, Sep 22)#
Time |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
---|---|---|---|---|---|
9:30am-11:30am |
Office hours |
||||
2:00pm-3:20pm |
Lecture: Model Evaluation and Hyperparameter Tuning |
Lecture: Developing a Multi-Layer Neural Network from Scratch |
Assignment 1 (assigned Sep 20; due Oct 3) |
Readings for Sep 17 Lecture: Main concepts from Raschka, Chap. 6 |
Readings for Sep 19 Lecture: Based on Raschka, Chap. 11 |
Week 5 (Mon, Sep 23 - Sun, Sep 29)#
Time |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
---|---|---|---|---|---|
9:30am-11:30am |
Office hours |
||||
2:00pm-3:20pm |
Lecture: Parallelizing a NN with PyTorch |
Lecture: PyTorch Computation Graphs |
Readings for Sep 24 and 26 Lectures: Based on Raschka, Chap. 12; Chap. 13 pages 410-412, 415-417, 417-430, 436-439 |
Week 6 (Mon, Sep 30 - Sun, Oct 6)#
Time |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
---|---|---|---|---|---|
9:30am-11:30am |
Office hours |
||||
2:00pm-3:20pm |
Lecture: Convolutional Neural Networks |
Lecture: Convolutional Neural Networks |
Reminder Assignment 1 due Oct 3 |
Assignment 2 (assigned Oct 3; due Oct 22) |
Readings for October 1 and 3 Lectures: Based on Raschka, Chap. 14 |
Week 7 (Mon, Oct 7 - Sun, Oct 13)#
Time |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
---|---|---|---|---|---|
9:30am-11:30am |
No office hours |
||||
2:00pm-3:20pm |
Lecture: Convolutional Neural Network |
No lecture |
Week 8 (Mon, Oct 14 - Sun, Oct 20)#
Time |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
---|---|---|---|---|---|
9:30am-11:30am |
Office hours |
||||
2:00pm-3:20pm |
Lecture: (Continue) CNN; intro to GradCAM |
Lecture: GradCAM for explainability of CNN |
Week 9 (Mon, Oct 21 - Sun, Oct 27)#
Time |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
---|---|---|---|---|---|
9:30am-11:30am |
Office hours |
||||
2:00pm-3:20pm |
Lecture: Recurrent Neural Network |
Lecture: Recurrent Neural Network |
Reminder Assignment 2 due Oct 22 |
Readings for Oct 22 and Oct 24 Lectures: Raschka, Chap. 15 |
Week 10 (Mon, Oct 28 - Sun, Nov 3)#
Time |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
---|---|---|---|---|---|
9:30am-11:30am |
Office hours |
||||
2:00pm-3:20pm |
Lecture: Introduction to Generative Adversarial Networks |
Lecture: Generative Adversarial Networks |
Assignment 3 (assigned Nov 3; due Nov 16) |
Readings: Raschka, Chap. 17 |
Week 11 (Mon, Nov 4 - Sun, Nov 10)#
Time |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
---|---|---|---|---|---|
9:30am-11:30am |
Office hours |
||||
2:00pm-3:20pm |
No lecture |
Lecture: Convolutional and Wasserstein GAN |
Readings: Raschka, Chap. 17 |
Week 12 (Mon, Nov 11 - Sun, Nov 17)#
Time |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
---|---|---|---|---|---|
9:30am-11:30am |
Office hours |
||||
2:00pm-3:20pm |
Lecture: Graph Neural Networks |
Lecture: Graph Neural Networks |
Reminder Assignment 3 due Nov 16 |
Week 13 (Mon, Nov 18 - Sun, Nov 24)#
Time |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
---|---|---|---|---|---|
9:30am-11:30am |
Office hours |
||||
2:00pm-3:20pm |
Lecture: Transfer Learning (tentative) |
Lecture: Intro to Transformers (tentative) |
Assignment 4 (assigned Nov 18; due Nov 28) |
Week 14 (Mon, Nov 25 - Sun, Dec 1)#
Time |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
---|---|---|---|---|---|
9:30am-11:30am |
Office hours |
||||
2:00pm-3:20pm |
Lecture: Intro to Transformers (tentative) |
Lecture: Intro to Normalizing Flows (tentative) |
Reminder Assignment 4 due Nov 28 |
Week 15 (Mon, Dec 2 - Sun, Dec 8)#
Time |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
---|---|---|---|---|---|
9:30am-11:30am |
Office hours |
||||
2:00pm-3:20pm |
Lecture: Intro to Normalizing Flows (tentative) |
Lecture: Intro to Normalizing Flows (tentative); Recap |
Final project due Dec 9 |
Exams / presentations - Dec 16-17 |