Difference between revisions of "ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 2"
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==Introduction== | ==Introduction== | ||
This Technical Note (TN for short) belongs to the series introduced [[ML-TN-001_-_AI_at_the_edge:_comparison_of_different_embedded_platforms_-_Part_1|here]]. | This Technical Note (TN for short) belongs to the series introduced [[ML-TN-001_-_AI_at_the_edge:_comparison_of_different_embedded_platforms_-_Part_1|here]]. | ||
| − | Specifically, it illustrates the execution of an inference application (fruit classifier) that makes use of the model described in [[ML-TN-001_-_AI_at_the_edge:_comparison_of_different_embedded_platforms_-_Part_1# | + | Specifically, it illustrates the execution of an inference application (fruit classifier) that makes use of the model described in [[ML-TN-001_-_AI_at_the_edge:_comparison_of_different_embedded_platforms_-_Part_1#Reference_application_.231:_fruit_classifier|this section]] when executed on the [[:Category:Mito8M|Mito8M SoM]]. |
==Building== | ==Building== | ||
Revision as of 13:09, 11 September 2020
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History[edit | edit source]
| Version | Date | Notes |
|---|---|---|
| 1.0.0 | September 2020 | First public release |
Introduction[edit | edit source]
This Technical Note (TN for short) belongs to the series introduced here. Specifically, it illustrates the execution of an inference application (fruit classifier) that makes use of the model described in this section when executed on the Mito8M SoM.
Building[edit | edit source]
The application was written in C++. TBD
