Thank you for attending the January 17, 2018 webinar "An Introduction to Developing Vision Applications Using Deep Learning and Google's TensorFlow Framework," presented by Pete Warden, Google research engineer and the company's technology lead on the mobile and embedded TensorFlow team, and organized by the Embedded Vision Alliance!
For more information on Google's TensorFlow framework, please visit www.tensorflow.org.
For more information on deep learning for embedded vision and other computer vision topics, please visit the Embedded Vision Alliance website at https://www.embedded-vision.com. You'll particularly find the following articles to be of interest:
- Using Convolutional Neural Networks for Image Recognition
- Deep Learning for Object Recognition: DSP and Specialized Processor Optimizations
- Software Frameworks and Toolsets for Deep Learning-based Vision Processing
- Building Mobile Apps with TensorFlow: An Interview with Google's Pete Warden
as well as the following presentations:
- Demystifying Deep Neural Networks
- A Shallow Dive into Training Deep Neural Networks
- TensorFlow: Enabling Mobile and Embedded Machine Intelligence
- Implementing the TensorFlow Deep Learning Framework on Qualcomm’s Low-power DSP
Subscribe to the Alliance's site-wide RSS feed, along with its Facebook, Google+, LinkedIn Company, LinkedIn Group and Twitter social media channels, to receive notification whenever new deep learning and other vision processing content is published on the Alliance website. We also encourage you to register on the website, which offers tutorial articles, videos, code downloads and a discussion forum staffed by technology experts, among other benefits.
The Embedded Vision Academy area of the website provides in-depth technical training and other resources to help product creators integrate visual intelligence into next-generation software and systems. Course material in the Embedded Vision Academy spans a wide range of vision-related subjects. Registered website users can also receive the Embedded Vision Alliance’s twice-monthly email newsletter, Embedded Vision Insights, among other benefits.
If you’ve found this webinar valuable, 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 https://tensorflow.embedded-vision.com.
Embedded Vision Summits are technical educational forums for product creators interested in incorporating visual intelligence into electronic systems and software. They provide how-to presentations, inspiring keynote talks, demonstrations, and opportunities to interact with technical experts from Embedded Vision Alliance member companies. These events are intended to inspire attendees' imaginations about the potential applications for practical computer vision technology through exciting presentations and demonstrations, to offer practical know-how for attendees to help them incorporate vision capabilities into their hardware and software products, and to provide opportunities for attendees to meet and talk with leading vision technology companies and learn about their offerings.
For the set of presentations from the May 2017 Embedded Vision Summit, along with a growing listing of published demonstration and presentation videos from the event, check out the event Replay page. Replay pages from prior Summits are listed below:
The next Embedded Vision Summit, along with accompanying workshops, will take place on May 22-24, 2018 in Santa Clara, California. Please reserve a spot on your calendar and plan to attend. Online registration is now available.
Finally, the link to a complimentary copy of the slide deck from this webinar is below:
- January 17, 2018 Webinar.pdf (1.4 MByte PDF)
