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QuickFeather for STEAM: Applied Interpretable AI is an open source AI hardware project from Hackster.io, indexed by ZouIC. Use QuickFeather to show how one could quickly creates prototypes for machine learning in education, research and production environments.

Source
Hackster.io
Focus
AI hardware
Author
Sanyaade Adekoya
Published
2021-06-26

Common questions

What does QuickFeather for STEAM: Applied Interpretable AI do?

Use QuickFeather to show how one could quickly creates prototypes for machine learning in education, research and production environments.

Where does QuickFeather for STEAM: Applied Interpretable AI come from?

ZouIC indexes it from Hackster.io, original page at https://www.hackster.io/sanyaade1/quickfeather-for-steam-applied-interpretable-ai-a5b3ce.

What stack does QuickFeather for STEAM: Applied Interpretable AI use?

tags AMD Xilinx.

When was QuickFeather for STEAM: Applied Interpretable AI published?

The source page lists 2021-06-26.

QuickFeather for STEAM: Applied Interpretable AI
Hackster.io All from this source License per the original page ai_hardware

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.

QuickFeather for STEAM: Applied Interpretable AI

Published 2021-06-26

Use QuickFeather to show how one could quickly creates prototypes for machine learning in education, research and production environments.

Technical Specifications

Source platform
Hackster.io
Listing note
Metadata fetched from the public platform page; copyright belongs to the original author.

Related resources and purchase links

Statistics

respects
1
views
388

Project Info

Source PlatformHackster.io
Categoryai_hardware
LicenseLicense per the original page
Views388
Likes1
Discussions0

Author Info

Sanyaade Adekoya
View Profile

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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