Embedded Vision

Understanding deep learning for vision and the Caffe Framework

In a free webcast on August 24, the primary Caffe developers from the Berkeley Vision and Learning Center will present a webinar titled “A Brief Introduction to Deep Learning for Vision and the Caffe Framework,” that will provide an overview of deep learning and its use for computer vision, as well as the emergence of convolutional neural networks (CNN) as a powerful technique for vision tasks. 
Aug. 15, 2016

In a free webcast on August 24, the primary Caffe developers from the Berkeley Vision and Learning Center will present a webinar titled “A Brief Introduction to Deep Learning for Vision and the Caffe Framework,” that will provide an overview of deep learning and its use for computer vision, as well as the emergence of convolutional neural networks (CNN) as a powerful technique for vision tasks.

During the presentation, the Caffe open source framework for CNN development, training, and deployment will be introduced, which will enable registrants to deploy their own CNN project. Following the conclusion of the webcasts, a 15-minute question-and-answer period will be held. This webinar provides a look into a one-day hands-on tutorial that focuses on CNNs for vision and the Caffe framework, which will be presented by the same speakers on September 22, 2016 in Cambridge, Massachusetts.

View webinar registration information.

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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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