Prototype Deep Learning Networks on FPGA and SoC Devices - MATLAB & Simulink (original) (raw)

Main Content

To prototype and deploy your custom series deep learning network, create an object of class dlhdl.Workflow. Use this object to:

• Compile and deploy the deep learning network on specified target FPGA or SoC board by using the deploy function.
• Retrieve the bitstream resource utilization by using thegetBuildInfo function.
• Execute the deployed deep learning network and predict the classification of input images by using the predict function.
• Calculate the speed and profile of the deployed deep learning network by using thepredict function.

This workflow illustrates deploying your deep learning network to the FPGA boards.

See Also

dlhdl.Workflow | dlhdl.Target | compile | deploy | predict | getBuildInfo

Topics

• Get Started with Deep Learning FPGA Deployment on Xilinx ZCU102 SoC