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Easy Machine Learning on Ubuntu with the AMD Kria KV260 is an open source FPGA project from Hackster.io, indexed by ZouIC. Learn how to easily set up machine learning inference capabilities on the AMD/Xilinx KV260 Vision AI starter kit running Ubuntu desktop.

Source
Hackster.io
Focus
FPGA
Author
Tom Simpson
Published
2022-02-09

Common questions

What does Easy Machine Learning on Ubuntu with the AMD Kria KV260 do?

Learn how to easily set up machine learning inference capabilities on the AMD/Xilinx KV260 Vision AI starter kit running Ubuntu desktop.

Where does Easy Machine Learning on Ubuntu with the AMD Kria KV260 come from?

ZouIC indexes it from Hackster.io, original page at https://www.hackster.io/dsp2/easy-machine-learning-on-ubuntu-with-the-amd-kria-kv260-c77ed1.

What stack does Easy Machine Learning on Ubuntu with the AMD Kria KV260 use?

tags AMD Xilinx, tutorial, intermediate.

When was Easy Machine Learning on Ubuntu with the AMD Kria KV260 published?

The source page lists 2022-02-09.

Easy Machine Learning on Ubuntu with the AMD Kria KV260
Hackster.io All from this source License per the original page fpga

Indexed by ZouIC from the source platform public page, for developer reference only. Copyright and licensing stay with the author; get code and files from the original platform.

Easy Machine Learning on Ubuntu with the AMD Kria KV260

Published 2022-02-09

Learn how to easily set up machine learning inference capabilities on the AMD/Xilinx KV260 Vision AI starter kit running Ubuntu desktop

Technical Specifications

Source platform
Hackster.io
Listing note
Metadata fetched from the public platform page; copyright belongs to the original author.
Difficulty
intermediate
content type
tutorial

Related resources and purchase links

Statistics

respects
22
views
8247

Project Info

Source PlatformHackster.io
Categoryfpga
LicenseLicense per the original page
Views8247
Likes22
Discussions0

Author Info

Tom Simpson
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Citation Note

This content is sourced from Hackster.io Platform,All rights reserved by the original author. This platform only provides indexing and summaries. For detailed content, please visit the original link.

License per the original page
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