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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.
When: April 30 — May 2, 2018
Where: New York, New York, NY
Amy Unruh walks you through the process of building a complete machine learning pipeline, covering ingest, exploration, training, evaluation, deployment, and prediction.
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.
When: May 1–4, 2018
Where: Boston, MA
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.
When: May 8–10, 2018
Where: Mountain View, CA
Machine learning and AI sessions scheduled:
When: July 9–15, 2018
Where: Austin, Texas
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.
When: July 16–19, 2018
Where: Portland, OR
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.
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