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content/learning-paths/embedded-and-microcontrollers/edge/program-and-deployment.md

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@@ -33,7 +33,7 @@ The libray should be of the form `Name_of_your_library_inferencing.h`
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# Code walk-through
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In the example repository, you will find a code snippet which is used as a sketch for the project. Before running the code, it’s important to understand what each part does.
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In the example repository, you will find a code snippet `Code_Sample.ino`, which is used as a sketch for the project. Before running the code, it’s important to understand what each part does.
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Take a few minutes to read through the comments and logic in the sketch before uploading it to your board. The code is available in the example repository, and below is a walk-through of the steps.
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content/learning-paths/embedded-and-microcontrollers/edge/software-edge-impulse.md

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![example image alt-text#center](images/15.png "Figure 12. Model Performance")
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You can also use the pre-trained model from the example repository.
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You can also use the pre-trained model in the `ei-edge-ai-tutorials-arduino-1.0.1.zip` archive, from the example repository.
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### Final Step: Deploying the Model
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