Tailoring Convolutional Neural Networks for Low-Cost, Low-Power Implementation (Bruno Lavigueur, May 2015)

Bruno Lavigueur, Project Leader for Embedded Vision at Synopsys, presents the “Tailoring Convolutional Neural Networks for Low-Cost, Low-Power Implementation“ tutorial at the May 2015 Embedded Vision Summit. Deep learning-based object detection using convolutional neural networks (CNN) has recently emerged as one of the leading approaches for achieving state-of-the-art detection accuracy for a wide range of object classes. Most of the current CNN-based detection algorithm implementations run on high-perfor