how to deploy deep learning prototype to FPGA using HDL Coder?

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owen chang
owen chang 2017-10-19
评论： owen chang 2019-8-28
Hi i have FPGA platform and like to play around with Matlab deep learning (like MatConvNet), then deploy on my FPGA platform for testing (both SW and HW), i know there are tools such as Embedded Coder and HDL Coder might help me on this, but not sure how and the limitation? please kindly share your input, thanks a lot.
Regards, Owen
  2 个评论
owen chang
owen chang 2019-8-28
thanks. but unfortunately i can't understand this language...
hopefully will have engilish version and more detail can be shared from there.
thanks for shaing
Owen

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回答（1 个）

Girish Venkataramani
Hello Owen,
Apart from MatConvNet, MATLAB now supports deep learning natively in Neural Network Toolbox. See this for more info: https://www.mathworks.com/campaigns/products/ppc/google/deep-learning-with-matlab.html
For code-generation, we now support Deep learning networks to CUDA code with the new GPU Coder product that was launched in R2017b. We are currently actively working on adding code-generation support also for CPUs (C code) and FPGAs (HDL code) from these neural network objects that represent deep learning. You'll hear more on this in the next year.

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