User contributions
12 November 2020
ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 5
Results
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ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 5
Test bed
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ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 5
Test bed
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ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 5
Introduction
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ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 5
no edit summary
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10 November 2020
ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 5
Introduction
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ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 5
no edit summary
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ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 5
Created page with "{{InfoBoxTop}} {{AppliesToMachineLearning}} {{InfoBoxBottom}} __FORCETOC__ == History == {| class="wikitable" border="1" !Version !Date !Notes |- |1.0.0 |November 2020 |First..."
5 November 2020
ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 4
Results comparison
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ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 4
Version 2B (Python)
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ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 4
no edit summary
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ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 4
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30 October 2020
23 October 2020
22 October 2020
ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 4
Results comparison
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ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 4
Version 2
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ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 4
Version 3
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ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 4
Version 2
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ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 4
Fully-quantized model
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ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 4
Version 2
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ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 4
Version 2
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ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 4
Version 2
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21 October 2020
ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 4
Version 2
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ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 4
Profiling model execution on NPU
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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
Profiling model execution on NPU
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ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 4
Floating-point model
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ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 4
Version 1 (no NPU acceleration)
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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
15 October 2020
ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 3
Building the application
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ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 3
Results
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ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 3
Four threads
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ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 3
Building the application
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14 October 2020
ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 3
Results
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ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 3
Results
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ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 3
Results
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ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 3
Results
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ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 3
Coarse grained profiling using DNNDK low level API
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ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 3
Coarse grained profiling using DNNDK low level API
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ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 3
Running the application
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ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 3
Results
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ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 3
Results
+22
ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 3
Results
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ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 3
VART-based application
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ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 3
DNNDK-based application
+240
ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 3
Building the application
+132