Our next class on Deep Learning for Computer Vision with TensorFlow 2.0 will be held on November 1, 2019 in Fremont, California.

This class is redesigned and updated to include the latest version of TensorFlow

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, today’s most popular framework for deep learning.


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WHO SHOULD ATTEND?

Get a rapid hands-on introduction to TensorFlow in our single-day course. We can help you get the skills you need.

Seats are limited—register today!


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

Agenda:
The class runs 9 am to 5 pm with lunch and breaks. The class is a combination of lecture and lab exercises using Jupyter Notebooks.  We cover the following topics:

  • Introduction to AI, machine learning, and TensorFlow 2.0

  • Neural networks in TensorFlow

    • Linear regression

    • Shallow image recognition

    • Deep image recognition

    • Convolutional neural networks

  • Data set creation and augmentation

  • Off-the-shelf network architectures; transfer learning

  • Object detection

  • TensorFlow Lite


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