Upcoming TensorFlow events in June and beyond

By Marcus Chang, Program Manager

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

City of London — Photo by © User:Colin and Kim Hansen / Wikimedia Commons, CC BY-SA 4.0 (source: link)

CogX

When: June 11, 2018

Where: London, UK

The Future of Machine Learning is Tiny [Speaker, Pete Warden]

There are hundreds of billions of embedded devices in the world, and vast amounts of unused sensor data. Adding machine learning to these chips will add new interfaces to existing products, and enable entirely new classes of applications. Pete Warden, from Google’s TensorFlow team, will talk about the work being done to shrink deep learning code and models to run on these tiny devices, and why it’s so important.

Mobisys

When: June 15, 2018

Where: Munich, Germany

Emerging Techniques for Constrained-Resource Deep Learning [Speaker, Pete Warden]

Pete Warden will present an overview of quantization, model compression, block sparsity, architecture search, and other recent methods for running deep learning efficiently on mobile and embedded devices.

Google Developer Group (UTC Reading & Thames Valley)

When: June 21, 2018 (6:00 PM — 9:00 PM)

Where: Reading, UK

TensorFlow with Laurence Moroney

Laurence Moroney from the Google Brain / TensorFlow team will be in Reading to chat about some of the things he is working on there, particularly TensorFlow Lite.

CVPR

When: June 22, 2018

Where: Salt Lake City, UT

Emerging Techniques for Constrained-Resource Deep Learning [Speaker, Pete Warden]

Pete Warden will present an overview of quantization, model compression, block sparsity, architecture search, and other recent methods for running deep learning efficiently on mobile and embedded devices.

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

TensorFlow Day at OSCON! (July 17)

The machine learning revolution is powered by open source, which is why we’re hosting a TensorFlow Day at OSCON this year! We’ll have a full day of talks from TensorFlow contributors, great demos, and an open hacking room where you can get hands-on with TensorFlow, and learn how you can be a part of the project. Registration is open both to regular OSCON attendees, and those with expo passes. For more details, see the OSCON web site.

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.

Google Cloud NEXT ‘18

When: July 24–26, 2018

Where: San Francisco, CA

Tensorflow, deep learning and modern convolutional neural nets, without a PhD [Speaker, Martin Gorner]

The hottest topics in computer science today are machine learning and deep neural networks. Many problems deemed “impossible” only five years ago have now been solved by deep learning: playing GO, recognizing what is in an image, or translating languages. Software engineers are eager to adopt these new technologies as soon as they come out of research labs, and the goal of this session is to equip you to do so. This session will focus on the newest developments in image recognition and convolutional neural network architectures and give you tips, engineering best practices, and pointers to apply these techniques in your projects. No PhD required.

Introduction to TensorFlow [Speaker, Laurence Moroney]

In this session, you’ll learn how you can easily get started with coding for Machine Learning and AI with TensorFlow. We’ll cover the basics of Machine Learning, and how you can build neural networks with no previous experience, and far more easily than you may have expected. This will give you the first steps on your journey towards understanding Machine Learning, Artificial Intelligence, and Data Science!

What’s New with TensorFlow [Speaker, Laurence Moroney]

As fast as Machine Learning and AI are evolving, so is TensorFlow. In this session you’ll get a tour of everything new in TensorFlow, from the release of TensorFlow Lite for Mobile and Embedded Systems, through Eager Mode for an easier programming model, to TensorFlow Hub which gives you a library of pre-trained models and beyond.