Throughput-Optimized OpenCL-based FPGA Accelerator for Large-Scale Convolutional Neural Networks
ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, pp. 16-25, 2016.
Convolutional Neural Networks (CNNs) have gained popularity in many computer vision applications such as image classification, face detection, and video analysis, because of their ability to train and classify with high accuracy. Due to multiple convolution and fully-connected layers that are compute-/memory-intensive, it is difficult to ...More
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