Automate Testing of TensorFlow Lite Model Implementation
Last Updated on July 25, 2023 by Editorial Team
Author(s): Mirek Stanek
Originally published on Towards AI.
Making sure that your ML model works correctly on a mobile app (part 2)
This post was originally published at thinkmobile.dev — a blog about implementing intelligent solutions in mobile apps (link to article).
This is the 2nd article about testing machine learning models created for mobile. In the previous post — Testing TensorFlow Lite image classification model, we built a notebook that exports the TensorFlow model to TensorFlow Lite and compares them side by side. But because the conversion process is mostly automatic, there are not many places to break something. We can find differences between quantized and non-quantized models or ensure that TensorFlow Lite works similarly to TensorFlow, but the real issues can… Read the full blog for free on Medium.
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