Changes

In particular, it illustrates the execution of different versions 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 [https://www.nxp.com/products/processors-and-microcontrollers/arm-processors/i-mx-applications-processors/i-mx-8-processors/i-mx-8m-plus-arm-cortex-a53-machine-learning-vision-multimedia-and-industrial-iot:IMX8MPLUS NXP i.MX8M Plus EVK]. The In addition, this document compares the results achieved are also compared to the ones produced by the platforms that were considered in the [[ML-TN-001_-_AI_at_the_edge:_comparison_of_different_embedded_platforms_-_Part_1#Articles_in_this_series|previous articles of this series]].

Specifically, the following versions of the application were tested:* Version 1: This version is the same described in TBD [[ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 2|this article]]. As such, inference in implemented in software and is applied to images retrieved from files .* Version 2: This version is functionally equivalent to the version 1, but it leverages the NN Neural Processing Unit (NPU) to hardware acceleratoraccelerate the inference.