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

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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