Coming soon to a city near you!

upcoming CLASSES IN San jose, seattle, new york city, Boston, and santa clara

Are you an engineer who wants to design intelligent computer vision systems that learn from complex or large-scale datasets?

Get the hands-on knowledge you need to develop deep learning computer vision applications—both on embedded systems and in the cloud—with TensorFlow, one of today’s most popular frameworks for deep learning.


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WHO SHOULD ATTEND?

Whether you want to get a rapid hands-on introduction to TensorFlow in our single-day course, or do a deep-dive intensive with our three-day program, we can help you get the skills you need.

Seats are limited—register today!


Single-Day Course

Our one-day program will provide you with a hands-on overview of deep learning applications of TensorFlow. It covers:

  • Introduction to TensorFlow
  • Neural Networks in TensorFlow
  • Object Recognition in TensorFlow
  • Training Data and Issues
  • Open Source CNN Models

Three-Day Intensive

The three-day program is 50% lecture and 50% hands-on code-writing, debugging, and testing on reasonable sized examples. It covers:

  • Linear Regression
  • The Perceptron
  • Multi-class Models
  • Deep Neural Networks
  • AI Frameworks
  • TensorFlow Implementations of Regression, Classification, and Deep Networks
  • Visualizing Model Operation
  • Transfer Learning
  • Embedded Vision

See a detailed syllabus here.


Single-Day Course Schedule

Monday, January 29, 2018
San Jose, CA


Monday, February 26, 2018
Seattle, WA


Monday, March 19 2018
New York City


Monday, March 19 2018
New York City

REGISTRATION WILL OPEN SOON!


Monday, May 21, 2018
Santa Clara, CA*

REGISTRATION WILL OPEN SOON!

* Part of the Embedded Vision Summit. You do not need to register for the Summit to attend the class.


Three-Day Intensive Schedule

Tuesday January 30-Thursday February 1, 2018
San Jose, CA


Tuesday, February 27-Thursday March 1 2018
Seattle, WA


Additional training dates and locations will be announced soon!
Sign up to receive updates on future trainings.