On January 17, 2018 at 9 am PT (noon ET), Pete Warden, Google research engineer and and the company's technology lead on the mobile and embedded TensorFlow team, will present a free one-hour webinar, "An Introduction to Developing Vision Applications Using Deep Learning and Google's TensorFlow Framework," organized by the Embedded Vision Alliance. Here's the description, from the event registration page:

This live webinar begins with an overview of deep learning and its use for computer vision tasks. It then introduces Google's TensorFlow as a popular open source framework for deep learning development, training, and deployment, and provides an overview of the resources Google offers to enable you to kick-start your own deep learning project. Warden concludes with several case study design examples that showcase TensorFlow use and optimization on resource-constrained mobile and embedded devices. A 15-minute question-and-answer session will follow the presentation.

To register for this free webinar, please see the event page. For more information, please email webinars@embedded-vision.com.

If you’re interested in this free webinar, you may also be interested in the Alliance's upcoming 1-day and 3-day hands-on technical training classes on “Deep Learning for Computer Vision with TensorFlow,” to be presented in San Jose, CA in January 2018, Seattle, WA in February, New York, NY in March, Boston, MA in April, and Santa Clara, CA in May. For more information and to register, please see the event page.

UPDATE: Now that the live webinar is over, see here for the on-demand archive.

Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.



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