2019 TensorFlow DevSummit viewing party & meetup at Google Hungary, TF DevSummit

GDG Budapest
Wed, Mar 6, 2019, 4:30 PM (CET)

About this event

Join the geekest machine learning enthusiasts on March 6 at the Google office in Budapest.

TensorFlow Dev Summit brings together a diverse mix of machine learning users from around the world for two days of highly technical talks, demos, and conversation with the TensorFlow team and community.

The annual TensorFlow DevSummit takes place on March 6-7, 2019 in the Google Event Center, Sunnyvale, California USA.


Let's watch together the video/livestream of the 2019 TensorFlow Dev Summit from the Google office in Budapest and discuss machine learning.

As a warmup before the livestream, Kornel Regius (Google Hungary) will talk about the work of Google employees in Hungary.

He will be followed by Norbert Liki (Data Science Architect @ Aliz) with a presentation: News recommendation with Tensorflow

A brief description of his presentation:

Use of recommendation systems is widespread in many places now. In this talk I will show a use case for news recommendations using Tensorflow. Concentrating on the main building blocks and how you can deploy it on Google Cloud Platform.

The number of attendees is limited to 20.

Don't miss this rare occasion where you will have the opportunity to
- visit Google office in Hungary
- talk to a Googler
- meet fellow GDG Budapest members and machine learning experts.

- Google Hungary - Óbuda Gate Irodaház, 1023 Budapest, Dara u. 1.

Event sponsors:
- Google Hungary - www.google.hu
- Reklámművek - G.M. Production Kft - www.reklammuvek.com
- Aliz - www.aliz.ai

About TensorFlow

TensorFlow™ is an open source software library for high performance numerical computation. Its flexible architecture allows easy deployment of computation across a variety of platforms (CPUs, GPUs, TPUs), and from desktops to clusters of servers to mobile and edge devices. Originally developed by researchers and engineers from the Google Brain team within Google’s AI organization, it comes with strong support for machine learning and deep learning and the flexible numerical computation core is used across many other scientific domains.


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