TensorFlow and Deep Learning : The latest from #TFDevSummit

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Since there's so much Open Source content in Singapore this week (with FOSSASIA being on) : We thought that it would be a great time to update everyone on the Open Source Machine Learning project with the most stars on GitHub!

This month's MeetUp is all about recapping the announcements and new products from the TensorFlow Summit, which was on 6-7 of March.

So, if you're using TensorFlow (or hope to soon), this will be a great event to understand what's "Coming Soon" (which is particularly timely, since TF 2.0 is imminent).


Planned Talks (in brief) :

"TensorFlow 2.0 function tracing and autograph" - Aurélien Géron

TensorFlow's upcoming 2.0 version will make it much easier to build efficient & portable computation graphs thanks to automatic function tracing and autograph. In this talk, you will learn how to use these great features and understand how they work.

Aurélien Géron is the author of the best-selling book "Hands-On Machine Learning with Scikit-Learn and TensorFlow" (O'Reilly, 2017). A former Googler, he led YouTube's video classification team from 2013 to 2016. He also founded Wifirst, a leading Wireless ISP in France. Before this, he worked as a software engineer in a variety of domains: healthcare, media & telecommunications, finance, defense, manufacturing and more. He recently moved to Singapore where he founded kiwisoft.io, a Machine Learning consulting & training firm.

"TFLite, Microcontrollers and EdgeTPUs" - Martin Andrews

Part of TensorFlow's appeal in commercial settings (compared to other frameworks) is its extensive ecosystem, including the ability to scale from huge clusters of TPUs down to tiny devices. TensorFlow Lite is a key part of this, and Martin will give an overview of what it is, who is using it and some new devices that only became available at the TF Summit.

Martin has a PhD in Machine Learning, and has been an Open Source developer since 1999. After a career in finance (based in London and New York), he decided to follow his original passion, and now works on Machine Learning / Artificial Intelligence full-time : a combination of consulting, research and running courses in Deep Learning in Singapore.

"TensorFlow 2.0 API Changes and Intro to the future with Swift" - Sam Witteveen

TensorFlow 2.0 has introduced a number of key changes to its APIs, including enabling Eager by default, and tf.keras as the standard for layers, loses and optimizers. This talk will cover these features and how to upgrade your code from 1.0 to be ready for use in 2.0. Lastly, we will take a quick look at the future of TensorFlow with Swift and how you can try it out now.

Sam is a Google Developer Expert for Machine Learning. He has extensive experience in AI and mobile startups and is helping developers and companies across SEA create smarter applications with machine learning. Red Dragon AI is a leading AI solutions and research company based out of Singapore.

"TensorFlow SIGs, RFCs and Community" - Jason Zaman

TensorFlow is where it is today because of many amazing open source contributions, through GitHub, Special Interest Groups and Requests for Comment (RFCs). In addition to that, we have communities of contributors focused on documentation, and on testing the forthcoming TensorFlow 2.0 release. This talk highlights the work of those groups, and explains how you can get involved.

Jason is community lead for TensorFlow's SIG-Build and an ML GDE. He is also a Gentoo Linux developer, maintainer on the SELinux Project and is an active member of the Open Source community, speaking regularly on TensorFlow, SELinux and Android.


Talks will start at 7pm (A/V equipment permitting) and end at around 9:00pm, at which point people normally come up to the front for a bit of a chat with each other, and the speakers.


As always, we're actively looking for more speakers for future events - please suggest yourself here :