Hong Kong Machine Learning Meetup Season 1 Episode 12 (Season Finale)

Amazon AWS Hong Kong will host the meetup at their Causeway Bay office (Tower 535, pop-up loft 26/F). Thanks to them!

We now have a LinkedIn Page: https://www.linkedin.com/company/hong-kong-machine-learning/ where you can get relevant information about ML (mostly technical).

Summary of the previous meetups:

• HKML S1E1 http://marti.ai/hkml/2018/07/18/hkml-s1e1.html
• HKML S1E2 http://marti.ai/hkml/2018/08/21/hkml-s1e2.html
• HKML S1E3 http://marti.ai/hkml/2018/10/09/hkml-s1e3.html
• HKML S1E4 http://marti.ai/hkml/2018/11/21/hkml-s1e4.html
• HKML S1E5 https://gmarti.gitlab.io/hkml/2018/12/19/hkml-s1e5.html
• HKML S1E6 https://gmarti.gitlab.io/hkml/2019/01/23/hkml-s1e6.html
• HKML S1E7 https://gmarti.gitlab.io/hkml/2019/02/20/hkml-s1e7.html
• HKML S1E8 http://gautier.marti.ai/hkml/2019/03/12/hkml-s1e8.html
• HKML S1E9 http://marti.ai/hkml/2019/04/17/hkml-s1e9.html
• HKML S1E10 http://marti.ai/hkml/2019/05/15/hkml-s1e10.html
• HKML S1E11 http://marti.ai/hkml/2019/06/12/hkml-s1e11.html

Programme:

Alex Lau on WGAN-GP

Generative Adversarial Network (GAN) is notorious for being hard to train. Wasserstein GAN with Gradient Penalty, as one of its variant, comes into the rescue. The talk wil start with a number of major problems you commonly faced when training a GAN. Then, we are going to explain how WGAN-GP can tackle the problem. A few applications of WGAN-GP will be highlighted.

Eric Greene - TBA

Gautier Marti - Takeaways from ICML 2019

Slides: https://www.slideshare.net/GautierMarti/takeaways-from-icml-2019-long-beach-california