User contributions
17 January 2022
ML-TN-006 — Keyword Spotting and Asymmetric Multiprocessing on Orca SBC
Add reference to the model training tutorial
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ML-TN-006 — Keyword Spotting and Asymmetric Multiprocessing on Orca SBC
Fill “Additional notes regarding the inference application”
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4 November 2020
ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 4
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ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 4
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File:ML-TN-001 4 acceleration python.png
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ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 4
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ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 4
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ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 4
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ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 4
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ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 4
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ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 4
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ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 4
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ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 4
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ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 4
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ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 4
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19 October 2020
ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 4
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ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 4
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ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 4
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m+17
ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 4
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ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 4
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ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 4
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ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 4
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ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 4
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16 October 2020
ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 4
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ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 2
portato a due cifre significative il prediction time del fully-quantized model nel caso di 4 thread
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ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 4
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ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 4
Results
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ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 4
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ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 4
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ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 4
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ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 4
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ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 4
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ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 4
Results
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ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 4
Version 2
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15 October 2020
ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 4
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ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 4
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ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 4
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ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 4
Tweaking the number of threads
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File:ML-TN-001 4 camera htop.png
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File:ML-TN-001 4 camera photo.jpg
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File:ML-TN-001 4 acceleration.png
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File:ML-TN-001 4 fullquant 4threads.png
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File:ML-TN-001 4 fullquant default.png
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File:ML-TN-001 4 weightsquant default.png
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File:ML-TN-001 4 float 2threads.png
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File:ML-TN-001 4 float 1thread.png
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ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 4
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File:ML-TN-001 4 float default.png
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14 October 2020
ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 4
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m-149
ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 4
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+1,306