1. Time & Date

updated: 10:00-12:00, 13:00-14:00 on July 3, 4, 6, 8, 14:00-17:00, July 10, 11 ,and 9:00-12:00, July 14

**The class on July 5 is canceled and rescheduled for 14:00-17:00, July 11  (venue: Room 515, Cosmology Building, NTU)

**The class on July 7 is canceled and rescheduled for 9:00-12:00, July 14  (venue: Room 515, Cosmology Building, NTU)

**The class on July 8 is canceled and rescheduled for 14:00-17:00, July 10  (venue: Room 515, Cosmology Building, NTU)

2. Course Outline & Descriptions

This short course discusses various aspects of an important class of scientific machine learning, namely scientific deep learning. To that end, the course will cover the following topics (with certain depths including proofs of relevant theorems):

1) quick review/introduction to optimization and probability,

2) statistical machine learning framework with deep learning,

3) stochastic gradient descents,

4) bias-variance estimation for deep neural network,

5) exploding-vanishing problems in deep learning and methods to overcome these problems. Lecture notes with more in-depth results will be provided. 

3. Course Video

NCTS Short Course on Scientific Deep Learning play list

4. Registration

https://forms.gle/N4PnmoLZPadcj8746

5. Download File

Please download the file: https://reurl.cc/mDvWxY and learn how to use JAX before the course starts.