• Deep learning for vision training event to be held by Embedded Vision Alliance

    On September 22, the Embedded Vision Alliance and Berkeley Design Technology, Inc. has hosting a one-day tutorial event on convolutional neural networks (CNN) for vision and the Caffe framework for deep learning, presented by the primary Caffe developers from the Berkeley Vision and Learning Center. 
    Aug. 26, 2016
    2 min read

    On September 22, the Embedded Vision Alliance and Berkeley Design Technology, Inc. has hosting a one-day tutorial event on convolutional neural networks (CNN) for vision and the Caffe framework for deep learning(Note: Vision Systems Design readers may take a 10% discount on registration by using promo code: CNN16-VSD)presented by the primary Caffe developers from the Berkeley Vision and Learning Center.

    Deep learning, according to the Embedded Vision Alliance, has rapidly become a leading method for object classification and other functions in computer vision, and Caffe is a popular platform for creating, training, evaluating and deploying deep neural networks.

    The event will begin with an introduction to the theory behind CNNs, including the structure, operation, and training of CNNs and how they are used for computer vision. It will explore the strengths and weaknesses of CNNS, as well as how to design and train them. The event will then highlight the popular Caffe open source framework for CNNs, and provides hands-on labs.

    Designed to equip product creators, application developers, and engineering managers with the tools and knowledge needed to incorporate deep learning-based computer vision capabilities into their products; the event will teach attendees to learn how to use Caffe to create, train, evaluate, and deploy CNNs.

    "In many computer vision applications, algorithm developers are challenged by difficult imaging conditions and diverse (and often ambiguous) scenes," said Jeff Bier, Jeff Bier, Founder of the Embedded Vision Alliance, Co-Founder & President of Berkeley Design Technology, Inc. Modern neural network algorithms are proving to be an effective technique for many such applications, and are increasingly being commercially deployed,"said Jeff Bier, founder of the Embedded Vision Alliance. "But these convolutional neural network algorithms are radically different from conventional vision algorithms, and most computer vision engineers aren’t yet familiar with how to use them."

    The event will be held at the Hyatt Regency Cambridge, in Cambridge, MA, USA from 9 AM to 5 PM.

    View more information on the event.

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    About the Author

    James Carroll

    Former VSD Editor James Carroll joined the team 2013.  Carroll covered machine vision and imaging from numerous angles, including application stories, industry news, market updates, and new products. In addition to writing and editing articles, Carroll managed the Innovators Awards program and webcasts.

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