Optimizing FPGA-based Accelerator Design for Deep Convolutional Neural Networks
FPGA, pp. 161-170, 2015.
accelerationmicroprocessor/microcomputer applicationsfpgaconvolutional neural networkroofline model
Convolutional neural network (CNN) has been widely employed for image recognition because it can achieve high accuracy by emulating behavior of optic nerves in living creatures. Recently, rapid growth of modern applications based on deep learning algorithms has further improved research and implementations. Especially, various accelerator...More
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