General schedule

This page refers to the course schedule of NMA-DL 2021. We will update the new program as soon as possible.

Course overview

  • Week 1: The basics

    • Mon, August 2: Basics and Pytorch

    • Tue, August 3: Linear Deep Learning

    • Wed, August 4: Multilayer Perceptrons

    • Thu, August 5: Optimization

    • Fri, August 6: Regularization

  • Week 2: Do more with fewer parameters

    • Mon, August 9: Convnents and Recurrent Neural Networks

    • Tue, August 10: Modern Convnets

    • Wed, August 11: Modern RNNs

    • Thu, August 12: Attention and Transformers

    • Fri, August 13: Generative models (VAEs and GANs)

  • Week 3: Advanced concepts

    • Mon, August 16: Projects day - no tutorials

    • Tue, August 17: Unsupervised and Self-supervised learning

    • Wed, August 18: Basic Reinforcement Learning

    • Thu, August 19: RL for games

    • Fri, August 20: Continual learning, Wrap-up and Project presentations


Daily coursework schedule

All days will follow the same schedule apart from W3D4!

General schedule

All days will follow this schedule for course time:

Time (Hour)

Lecture

0:00~0:15

Discussion

0:15~1:45

Tutorials I

1:45~2:45

Big break

2:45~4:15

Tutorials II

4:15~4:30

Pod discussion

W3D4 (subject to changes)

On W3D4 (final day!), we will have project presentations, an extra celebration and pod wrap-ups!

Time (Hour)

Lecture

-1:30~-0:30

Project presentations (slots 2,4)

-0:30~0:00

Break (slots 2,4)

0:00~0:15

Discussion

0:15~1:45

Tutorials I

1:45~2:45

Big break

2:45~4:15

Tutorials II

4:15~4:30

Pod discussion

4:30~4:45

Break

4:45~5:10

Evaluation report

5:10~6:10

Project presentations (slots 1,3,5)

6:10~6:25

Pod farewell

6:25~7:15

Closing ceremony

Note: The naming W{x}D{y} correspond to days that include tutorials.

Professional Development Series

Coming soon