Tim.O
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Are there any introductive hands-on web pages or articles on Deep/Machine learning on FPGA Artix7 (not ZYNQ or PYNQ) ?? I'm doing deep learning using Tnsorflow or KELAS, and now, I'm thinking of performing it on FPGA Artix7. But, I do not have any clues to start it. If someone knows useful information, could you tell me.
Best regards.
FPGA Artix7 Basys3 Deep/ Machine learning
in Digilent Microcontroller Boards (Retired)
Posted
Thank you for your comments. I'll check web pages you linked!
Personally, I was guessing the procedure.
-Using any D.L. framework, create a weight file that matches the real configuration (FPGA channel or I/O)
-Rewrite it to C++ and put it on FPGA with Micro-blaze (soft CPU)
-Based on FPGA input: High/Low, FPGA provides High/Low following the weight file.
But, if #of FPGA I/O is not sufficient, a couple/few of FPGA must be used. In that case, how is communication among them done....
Anyway, I have to investigate it. PYNQ is probably helpful to brush my knowledge up...