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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 [[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 (*) 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 following section, the model is trained again. As such, the weights are overwritten but the model structure remains unchanged.
===Training the model===
Model training is performed with the help of the Docker container provided by Vitis AI.
