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Deep Learning HDL Toolbox Support Package for Xilinx FPGA and SoC Devices

This support package enables you to deploy a deep learning processor on Xilinx® FPGA and SoC based hardware from MATLAB

5 Downloads

Updated 17 Feb 2021

This support package includes pre-built bitstreams that program a deep learning processor and data movement IP cores onto a supported board. Connect the board using Ethernet or JTAG to configure and run deep learning inferencing on the FPGA fabric from MATLAB.

Together with HDL Coder™, you can generate a custom deep learning processor IP core and bitstream.

This hardware support package is functional for R2020b and beyond.

If you have download or installation problems, please contact Technical Support - www.mathworks.com/contact_ts

Comments and Ratings (6)

junyang lin

Cannot download..

tom breitsch

Unable to Install

The support package requires the following products to be installed:
Deep Learning HDL Toolbox

Bill Chou

Please note: In R2020b, you may encounter an installation error. Please refer to this page for more information on how to resolve it:

https://www.mathworks.com/matlabcentral/answers/651078-installation-failure-for-matlab-coder-interface-for-deep-learning-libraries-and-gpu-coder-interface

Steve Kuznicki

Kei Otsuka

Eric Cigan

MATLAB Release Compatibility
Created with R2020b
Compatible with R2020b
Platform Compatibility
Windows macOS Linux

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