Opensource ML embedded evaluation kit21.03

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+# Troubleshooting
+
+- [Inference results are incorrect for my custom files](#inference-results-are-incorrect-for-my-custom-files)
+- [The application does not work with my custom model](#the-application-does-not-work-with-my-custom-model)
+
+## Inference results are incorrect for my custom files
+
+Ensure that the files you are using match the requirements of the model
+you are using and that cmake parameters are set accordingly. More
+information on these cmake parameters is detailed in their separate
+sections. Note that preprocessing of the files could also affect the
+inference result, such as the rescaling and padding operations done for
+image classification.
+
+## The application does not work with my custom model
+
+Ensure that your model is in a fully quantized `.tflite` file format,
+either uint8 or int8, and has successfully been run through the Vela
+compiler.
+
+Check that cmake parameters match your new models input requirements.
+
+> **Note:** Vela tool is not available within this software project.
+It is a python tool available from <https://pypi.org/project/ethos-u-vela/>.
+The source code is hosted on <https://git.mlplatform.org/ml/ethos-u/ethos-u-vela.git/>.
+
+Next section of the documentation: [Contribution guidelines](../documentation.md#Contribution-guidelines).