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Deep Dive into TensorFlow #5

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***WAITLIST ONLY***

Please register HERE (http://bit.ly/2nmLTEs)

Many thanks to DevAcademy (http://www.devacademy.es/), ETSIT-UPM (http://www.etsit.upm.es/), MSTC (http://mstc.ssr.upm.es/) for sponsoring the TensorFlow meetup!

Agenda:

19.00 Opening. Welcome presentation
19.15 TensorFlow - Tricks of the Trade by Mihaela Rosca
20.15 Introduction to Generative Adversarial Networks. Application to Semi-Supervised Learning by Jorge de Val
21.00 Drinks & networking

DETAILED AGENDA:

TensorFlow - Tricks of the Trade

Mihaela Rosca is a Research Engineer at DeepMind, working on generative models research. Previously, she was a software engineer at Google, focusing on applying deep learning techniques to natural language processing. The two roles involved using TensorFlow, both in a production oriented fashion as well as a pure research perspective."

Personal website > http://elarosca.net/

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Introduction to Generative Adversarial Networks. Application to Semi-Supervised Learning

Jorge del Val is a technological researcher in BEEVA as a part of BBVA's innovation center. He also collaborates as a research fellow in the Signal Processing Applications Group (GAPS) in Universidad Politécnica de Madrid (UPM) since 2014 in the areas of machine learning and multi-agent systems. He received his M.S. in Mathematical Engineering from Universidad Complutense de Madrid (UCM) and his B.S. in Electrical Engineering from UPM. He also holds a partial B.S. in Physics from UNED. His current research interests include deep generative models, reinforcement learning and numerical methods in distributed multi-agent systems.

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