Code Generation and Deployment - MATLAB & Simulink (original) (raw)

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To generated code for and deploy your quantized deep learning network, create an object of class dlhdl.Workflow. Use this object to accomplish tasks such as:

• Compile and deploy the quantized deep learning network on a target FPGA or SoC board by using the deploy function.
• Estimate the speed of the quantized deep learning network in terms of number of frames per second by using the estimate function.
• Execute the deployed quantized deep learning network and predict the classification of input images by using the predict function.
• Calculate the speed and profile of the deployed quantized deep learning network by using the predict function. Set the Profile parameter to on.

This figure illustrates the workflow to deploy your quantized deep learning network to the FPGA boards.

See Also

dlhdl.Workflow | dlhdl.Target | dlquantizer

Topics

• Quantization of Deep Neural Networks
• Calibration
• Validation