Description

The rapid improvement in computation capability has made deep convolutional neural networks (CNNs) a great success in recent years on many computer vision tasks with significantly improved accuracy. During the

The rapid improvement in computation capability has made deep convolutional neural networks (CNNs) a great success in recent years on many computer vision tasks with significantly improved accuracy. During the inference phase, many applications demand low latency processing of one image with strict power consumption requirement, which reduces the efficiency of GPU and other general-purpose platform, bringing opportunities for specific acceleration hardware, e.g. FPGA, by customizing the digital circuit specific for the deep learning algorithm inference.

8.88 MB application/pdf

Download count: 0

Details

Contributors
Date Created
  • 2018
Resource Type
  • Text
  • Collections this item is in
    Note
    • Doctoral Dissertation Electrical Engineering 2018

    Machine-readable links