August 24, 2016 Webinar

Thank you for attending the August 24, 2016 webinar “A Brief Introduction to Deep Learning for Vision and the Caffe Framework,” presented by the primary Caffe developers from the Berkeley Vision and Learning Center and organized by the Embedded Vision Alliance and Berkeley Design Technology, Inc. (BDTI)! Deep learning for vision also was a popular topic at the most recent Embedded Vision Summit. 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. Deep learning-themed presentations at the May 2016 Embedded Vision Summit included:

• The keynote “Large-Scale Deep Learning for Building Intelligent Computer Systems” by Jeff Dean of Google
• “Using SGEMM and FFTs to Accelerate Deep Learning” by Gian Marco Iodice of ARM
• “Semantic Segmentation for Scene Understanding: Algorithms and Implementations” by Nagesh Gupta of Auviz Systems
• “The Road Ahead for Neural Networks: Five Likely Surprises” by Chris Rowen of Cadence
• “Fast Deployment of Low-power Deep Learning on CEVA Vision Processors” by Yair Siegel of CEVA
• “TensorFlow: Enabling Mobile and Embedded Machine Intelligence” by Pete Warden of Google
• “Efficient Convolutional Neural Network Inference on Mobile GPUs” by Paul Brasnett of Imagination Technologies
• “Accelerating Deep Learning Using Altera FPGAs” by Bill Jenkins of Intel
• “Dataflow: Where Power Budgets Are Won and Lost” by Sofiane Yuos of Movidius
• “Making Existing Cars Smart Via Embedded Vision and Deep Learning” by Stefan Heck of NAUTO, and
• “How Deep Learning Is Enabling Computer Vision Markets” by Bruce Daley of Tractica

View Replays from prior Summits here. We’d like to particularly direct your attention to the following presentations on deep learning topics from prior Summits and other Alliance events:

• “Convolutional Neural Networks” by Yann LeCun of Facebook
• “Enabling Ubiquitous Visual Intelligence Through Deep Learning” by Ren Wu, formerly of Baidu
• “Techniques for Efficient Implementation of Deep Neural Networks” by Song Han of Stanford
• “Deep Learning from a Mobile Perspective” by Caffe Developer Yangqing Jia

Subscribe to the Alliance’s site-wide RSS feed, along with its Facebook, 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. Finally, the link to a complimentary copy of the slide deck from today’s webinar is below:

• August 24, 2016 Webinar.pdf (6.5 MByte PDF)