Upcoming TensorFlow events in April and beyond.

By Marcus Chang, Program Manager

Do you want to learn more about TensorFlow, chat with members of the team, or meet other developers? Join us at any of these upcoming events! Here are some of the places the TensorFlow team will be in April and beyond.

O’Reilly AIC

When: April 30 — May 2, 2018

Where: New York, New York, NY

Getting up and running with TensorFlow: [Speaker, Amy Unruh]

Amy Unruh walks you through the process of building a complete machine learning pipeline, covering ingest, exploration, training, evaluation, deployment, and prediction.

TensorFlow Lite: How to accelerate your Android and iOS app with AI [Speaker, Kaz Sato]

TensorFlow Lite — TensorFlow’s lightweight solution for Android, iOS, and embedded devices — enables on-device machine learning inference with low latency and a small binary size. TensorFlow Lite also supports hardware acceleration with the Android Neural Networks API and Apple Core ML. Kazunori Sato walks you through using TensorFlow Lite, helping you overcome the challenges for bringing the latest AI technology to production mobile apps and embedded systems.

ODSC Boston

When: May 1–4, 2018

Where: Boston, MA

Getting Started with TensorFlow [Speaker, Josh Gordon]

A friendly introduction to Deep Learning, taught at the beginner level. We’ll work through introductory exercises across several domains — including computer vision, natural language processing, and structured data classification. We’ll introduce TensorFlow, explore the latest APIs, discuss best practices, and point you to recommended educational resources you can use to learn more. Note from Josh: all the code will be online for folks who can’t make it IRL, publishing shortly after Google I/O later this month.

Google I/O

When: May 8–10, 2018

Where: Mountain View, CA

I/O brings together developers from around the globe for talks, hands-on learning with Google experts, and a first look at Google’s latest developer products. Note: Sorry, we’re no longer accepting applications for Google I/O 2018 tickets. However, you can join remotely via I/O Extended. Of course, all the talks will be livestreamed and on YouTube after as well.

Machine learning and AI sessions scheduled:

Effective machine learning using Cloud TPUs [Speaker, Zak Stone]

Getting Started with TensorFlow’s High-Level APIs [Speakers: Josh Gordon, Laurence Moroney]

TensorFlow for JavaScript [Speakers: Nick Kreeger, Daniel Smilkov, Nikhil Thorat]

Introducing AIY: Do it yourself Artificial Intelligence [Speakers: Dushyantsinh Jadeja, Bill Luan, Sebastian Trzcinski-Clement]

Machine learning on mobile devices [Speakers: Wei Chai, Brahim Elbouchikhi, Sachin Kotwani]

TensorFlow in Production: TFX, TF-Hub, and TF Serving [Speakers: Noah Fiedel, Andrew Gasparovic, Jeremiah Harmsen, Clemens Mewald]

Machine learning models + IoT data = smarter world [Speakers: Laurence Moroney, Kaz Sato]

AI Adventures: art, science, and tools of machine learning [Speaker, Yufeng Guo]

TensorFlow Lite for mobile developers [Speakers: Andrew Selle, Sarah Sirajuddin]

TensorFlow and deep reinforcement learning, without a PhD [Speakers: Martin Gorner, Yu-Han Liu]

Opportunities, challenges, and strategies to develop AI for everyone [Speakers: Daphne Luong, John Platt, Rajen Sheth, Fernanda Viegas]

Advances in machine learning & TensorFlow [Speakers: Deborah Bard (NERSC), James Davidson, Douglas Eck, Laurence Moroney]

Distributed TensorFlow training [Speakers: Priya Gupta, Anjali Sridhar]

SciPy 2018

When: July 9–15, 2018

Where: Austin, Texas

Getting Started with TensorFlow [Speaker, Josh Gordon]

A friendly introduction to Deep Learning, taught at the beginner level. We’ll work through introductory exercises across several domains — including computer vision, natural language processing, and structured data classification. We’ll introduce TensorFlow, explore the latest APIs, discuss best practices, and point you to recommended educational resources you can use to learn more. Note from Josh: all the code will be online for folks who can’t make it IRL.

OSCON

When: July 16–19, 2018

Where: Portland, OR

Getting Started with TensorFlow [Speaker, Josh Gordon]

A friendly introduction to Deep Learning, taught at the beginner level. We’ll work through introductory exercises across several domains — including computer vision, natural language processing, and structured data classification. We’ll introduce TensorFlow, explore the latest APIs, discuss best practices, and point you to recommended educational resources you can use to learn more. Note from Josh: all the code will be online for folks who can’t make it IRL.