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README.md

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@@ -19,7 +19,7 @@ The data sets were each used as the basis for training the neural networks with
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The parameters of the neural networks were then extracted as a TXT file.
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The “micropython” folder contains the code for initializing the microcontroller.
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This is copied to the microcontroller via Thonny and the microcontroller is then restarted.
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The IRIS data set and the DIABETES data set are available as sample data sets.
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The IRIS data set and the DIABETES data set are available as example data sets.
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'ReLU', 'Leaky ReLU', 'Sigmoid', 'Softmax' and 'Tanh' are available as activation functions.
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If required, other classification data can be used for training in Python.
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For other data sets, the parameters of the neural networks must be adjusted accordingly.

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