Presented by Caffe developers from the Berkeley Vision and Learning Center, and organized by the Embedded Vision Alliance and BDTI, "Deep Learning for Vision Using CNNs and Caffe: A Hands-on Tutorial," will take place on February 22, 2016 in Santa Clara, CA, USA.
The full-day tutorial will focus on convolutional neural networks (CNN) for computer vision and the Caffe framework for deep learning, taking participants from an introduction to the theory behind CNNs to their actual implementation and includes hands-on labs using Caffe.
CNNs, according to the Embedded Vision Alliance, have emerged as a very powerful technique for a range of computer vision tasks. This tutorial, which will take place at the Hyatt Regency in Santa Clara, begins with an introduction to the structure, operation, and training of CNNs and how they are used for computer vision and explores the strengths and weaknesses of CNNs, and how to design and train them. It will then explore the popular Caffe open source framework through a series of hands-on labs on creating, training, and deploying CNNs.
View more information on the event.
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