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
573 Downloads
Updated
11 Sep 2024
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
MATLAB Release Compatibility
Created with
R2020b
Compatible with R2020b to R2024b
Platform Compatibility
Windows macOS (Apple silicon) macOS (Intel) LinuxCategories
- AI and Statistics > Deep Learning Toolbox >
- FPGA, ASIC, and SoC Development > Deep Learning HDL Toolbox > Deep Learning HDL Toolbox Supported Hardware >
- FPGA, ASIC, and SoC Development > SoC Blockset > SoC Blockset Supported Hardware > Intel Devices >
Find more on Deep Learning Toolbox in Help Center and MATLAB Answers
Tags
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Discover Live Editor
Create scripts with code, output, and formatted text in a single executable document.