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Prototype Deep Learning Networks on FPGA and SoCs Workflow

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 the getBuildInfo 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 the predict function.

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

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