WALNUT CREEK, Calif., Jan. 27, 2016 /PRNewswire/ -- On February 22, 2016, the primary Caffe developers from U.C. Berkeley's Vision and Learning Center will present a full-day detailed technical tutorial focused on convolutional neural networks for computer vision and the Caffe framework for deep learning. Organized by the Embedded Vision Alliance and Alliance founding member company BDTI, the tutorial will take participants from an introduction through the theory behind convolutional neural networks to their actual implementation, and includes multiple hands-on labs using Caffe, the most popular framework for convolutional neural networks.
Convolutional neural networks (CNNs) have emerged as a very powerful technique for a range of computer vision tasks. This live technical tutorial begins with an introduction to the structure, operation, and training of CNNs and how they are used for computer vision. It explores the strengths and weaknesses of CNNs, and how to design and train them. The tutorial then introduces the Caffe open source framework for CNNs, and provides hands-on labs in creating, training, and deploying CNNs using Caffe.
"Technology leaders like Facebook, Google, Microsoft and Tesla have embraced deep neural networks, because they provide a practical way to give devices and systems new types of intelligence," said Jeff Bier, founder of the Embedded Vision Alliance. "The open-source Caffe framework is a powerful tool for experimenting with and deploying deep learning. This tutorial, taught by the primary Caffe developers, is a great way to quickly develop expertise in this critical topic."
The tutorial will take place at the Hyatt Regency Hotel in Santa Clara, California, from 9AM to 5:30PM on February 22. For more tutorial details, including online registration, please visit the event page (http://www.embedded-vision.com/deep-learning-for-vision-using-cnns-and-caffe-handson-tutorial) or contact the organizers (http://www.bdti.com/contact).
About the Embedded Vision Alliance
Founded in 2011, the Embedded Vision Alliance is a worldwide industry partnership that brings together technology providers who are enabling innovative and practical applications for computer vision. Its more than 50 members include suppliers of processors, sensors, software and services, across a range of growing market segments and applications, including automotive, consumer electronics, gaming, imaging, and more. Membership is open to any company that supplies hardware, software, or design services for computer vision systems and applications. For more information on the Alliance, visit http://www.embedded-vision.com.
Embedded Vision Alliance
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SOURCE Embedded Vision Alliance