Design of convolutional neural network processor based on fpga resource multiplexing architecture

HIGHLIGHTS

• who: Fei Yan and colleagues from the School of Automation, Nanjing University of Information Science and Technology, Nanjing, China have published the research work: Design of Convolutional Neural Network Processor Based on FPGA Resource Multiplexing Architecture, in the Journal: Sensors 2022, 22, 5967. of 10/08/2022
• what: The authors propose a convolutional-neural-network-processor design based on an FPGA-based resource-multiplexing architecture, taking the classic handwritten digit recognition CNN as an example. The main reason for using this ping-pong operation is that if only one storage space is used to input . . .
  

   

  

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