IEEE - Institute of Electrical and Electronics Engineers, Inc. - YodaNN: An Ultra-Low Power Convolutional Neural Network Accelerator Based on Binary Weights

2016 IEEE Computer Society Annual Symposium on VLSI (ISVLSI)

Author(s): Renzo Andri ; Lukas Cavigelli ; Davide Rossi ; Luca Benini
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 July 2016
Conference Location: Pittsburgh, PA, USA
Conference Date: 11 July 2016
Page(s): 236 - 241
ISBN (Electronic): 978-1-4673-9039-2
ISSN (Electronic): 2159-3477
DOI: 10.1109/ISVLSI.2016.111
Regular:

Convolutional Neural Networks (CNNs) have revolutionized the world of image classification over the last few years, pushing the computer vision close beyond human accuracy. The required... View More

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