Apache MXNet Vancouver Meetup #2

This event is the occasion for the MXNet community to meet up, learn and network. Apache MXNet (incubating) is Amazon Web Services (AWS)'s preferred Deep Learning framework, it is designed for both efficiency and flexibility. It also allows you to mix symbolic and imperative programming to maximize efficiency and productivity.
If you are a MXNet user or curious about how MXNet differs from other libraries, this event is for you. It will be the occasion to meet some of the MXNet contributors and ask them your questions directly.

The evening will feature several technical talks where speakers will present on how they used Apache MXNet and deep learning to solve real-world problems.
If you are actively using MXNet and are interested in contributing a talk, contact Thomas Delteil at tdelteil@amazon.com directly with an abstract and a short bio.

Agenda:
6pm-6:30pm
Mingle

6:30pm-6:35pm
Welcome address by Cyrus Vahid, Principal Evanglist @ Amazon AI

6:40pm-7:10pm
Running Deep Learning in the JVM - MXNet Support for Java/Scala/Clojure - Yizhi Liu, Software Development Engineer @ Amazon AI

7:15pm-8:00pm
Deep Learning-Based Text-to-Speech Synthesis with MXNet - Sina Afrooze, Software Development Engineer @ Amazon AI

Abstract: Text-to-speech (TTS) is used in many applications, such as artificial assistants, readers for ebooks, character voices for games, and more. In this session, learn how to build TTS systems with deep learning techniques for multiple voices using the MXNet Gluon interface.

8:00pm-8:30pm
Mingle

All the best,

Thomas Delteil

Machine Learning Scientist @ Amazon AI

[IMPORTANT] To attend, RSVP by 9am on December 2nd so your name can make it to the list of attendees.