%0 Conference Paper %1 5537908 %A Farabet, C. %A Martini, B. %A Akselrod, P. %A Talay, S. %A LeCun, Y. %A Culurciello, E. %B Circuits and Systems (ISCAS), Proceedings of 2010 IEEE International Symposium on %D 2010 %K deep_learning fpga %P 257-260 %R 10.1109/ISCAS.2010.5537908 %T Hardware accelerated convolutional neural networks for synthetic vision systems %U http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5537908 %X In this paper we present a scalable hardware architecture to implement large-scale convolutional neural networks and state-of-the-art multi-layered artificial vision systems. This system is fully digital and is a modular vision engine with the goal of performing real-time detection, recognition and segmentation of mega-pixel images. We present a performance comparison between a software, FPGA and ASIC implementation that shows a speed up in custom hardware implementations.

@inproceedings{5537908, abstract = {In this paper we present a scalable hardware architecture to implement large-scale convolutional neural networks and state-of-the-art multi-layered artificial vision systems. This system is fully digital and is a modular vision engine with the goal of performing real-time detection, recognition and segmentation of mega-pixel images. We present a performance comparison between a software, FPGA and ASIC implementation that shows a speed up in custom hardware implementations.}, added-at = {2016-03-25T18:59:19.000+0100}, author = {Farabet, C. and Martini, B. and Akselrod, P. and Talay, S. and LeCun, Y. and Culurciello, E.}, biburl = {https://www.bibsonomy.org/bibtex/23fc191ec744d09ad94f7575ba86973af/dallmann}, booktitle = {Circuits and Systems (ISCAS), Proceedings of 2010 IEEE International Symposium on}, doi = {10.1109/ISCAS.2010.5537908}, interhash = {c65e5b988537cb39e223a65c0d78a0ff}, intrahash = {3fc191ec744d09ad94f7575ba86973af}, keywords = {deep_learning fpga}, month = may, pages = {257-260}, timestamp = {2016-03-25T18:59:19.000+0100}, title = {Hardware accelerated convolutional neural networks for synthetic vision systems}, url = {http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5537908}, year = 2010 }