- Xilinx Zynq-7000 ZC706 board
- Xilinx Zynq® UltraScale+™ MPSoC ZCU102 FPGA development board.
Deep Learning FPGA Deployment on Xilinx ZCU104
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el 22 de Dic. de 2020
I would like to Prototype Deep Learning Networks on Xilinx ZCU104 board, as shown here: https://www.mathworks.com/help/deep-learning-hdl/deployment.html.
On your website you list the supported boards by Deep Learning HDL Toolbox, under: https://mathworks.com/help/deep-learning-hdl/ug/supported-networks-layers-and-boards.html, which does not include ZCU104 board.
Would it be possible to deploy a network on ZCU104 board, using the Deep Learning HDL Toolbox Support Package for Xilinx FPGA, as shown in this example: https://mathworks.com/help/deep-learning-hdl/ug/get-started-with-deep-learning-fpga-deployment-on-xilinx-zcu102.html?
Thanks in advance.
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Respuesta aceptada
Shashank Gupta
el 30 de Dic. de 2020
Hi Hanna,
As of R2020b, We only support following boards.
Although for custom boards, you can integrate the code generated from your customized design into your reference design for deployment. Check out this link.
I hope this gives you a headstart.
Cheers.
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