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Building the application
==Building the application==
The starting point for the application is the model—in the form of a Keras .h5 file—described model described [[ML-TN-001_-_AI_at_the_edge:_comparison_of_different_embedded_platforms_-_Part_1#Reference_application_.231:_fruit_classifier|here]]. Incidentally, this is the '''same''' file (*) model structure was used as starting point for [[ML-TN-001_-_AI_at_the_edge:_comparison_of_different_embedded_platforms_-_Part_2|this other test]] as well(*). This makes the comparison of the two tests straightforward, even though they were run on SoC's that differ significantly from the architectural standpoint.
(*) As described in The two models share the following sectionsame structure but, the model is as they are trained again. As suchindependently, the their weights are overwritten but the model structure remains unchangeddiffer.
===Training the model===
Model training is performed with the help of the Docker container provided by Vitis AI.
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