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Hello Makers!

Join us for another great meetup with Simon Kozlov, Machine Learning Engineer at Instrumental as he gives a recap of the sixth annual ICLR (International Conference on Learning Representations) 2018 a niche deep learning conference whose focus is to study how to learn representations of data, which is basically what deep learning does.

Following is a brief agenda:

6:00 - 6:30 PM : Doors open & Networking
6:30 - 7:30 PM : Simon's Talk
7:30 - 8:00 PM : Q&A

We will go through some themes and some papers from ICLR 2018 conference, which happened this May in Vancouver.
It's been a while, but better late than never!

In particular, we'll go through the advances in:
- GAN training
- Adversarial examples
- New building blocks for deep learning
- Learning more effectively with less labeled data
- New domains to apply deep learning techniques

A good way to get a download of some fun papers if you missed the conference!

Simon's Bio:

Simon Kozlov is a Machine Learning Engineer at Instrumental focusing on applying deep learning techniques to the manufacturing space. Prior to Instrumental, he was part of the machine learning team at Dropbox. Before that, he helped make deep learning possible by giving a reason for GPUs to exist - in other words, worked on games and real-time rendering.