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Deep_learning_SoC

This project implements deep learning stack and a representative classifier using VectorBlox MXP, a Soft Vector Processor .

#Instruction to build and test the application

  • Build the source code with MXP libraries and Zynq 7020 BSP
  • Program the FPGA using MXP softcore bitstream.
  • Run the application using xmd
  • The runtime will be printed on serial console if the board is connected with UART cable and baud rate is set to USB2 baud rate

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This project implements deep learning stack and a representative classifier using VectorBlox MXP, a Soft Vector Processor .

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