High-performance video content recognition with long-term recurrent convolutional network for FPGA

FPGA is a promising candidate for the acceleration of Deep Neural Networks (DNN) with improved latency and energy consumption compared to CPU and GPU-based implementations. DNNs use sequences of layers of regular computation that are well suited for HLS-based design for FPGA. However, optimizing lar...

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Vydané v:	International Conference on Field-programmable Logic and Applications s. 1 - 4
Hlavní autori:	Xiaofan Zhang, Xinheng Liu, Ramachandran, Anand, Chuanhao Zhuge, Shibin Tang, Peng Ouyang, Zuofu Cheng, Rupnow, Kyle, Deming Chen
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	Ghent University 01.09.2017
Predmet:	Field programmable gate arrays IP networks Mathematical model Neural networks Optimization Quantization (signal) Resource management
ISSN:	1946-1488
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