The Hello World example as provided by the tflite-micro repository

The TensorFlowLite-Micro repository provides the code

• creating the hello world neural network model
• creating input tensors with x and sin(x) values used to train the model
• converting the model to tflite flatbuffer format and quantizing it to int8_t numbers
  The quantized model can be read from a file in case of the MicroPython version of the hello world example. The Arduino SDK does not use a file system and the quantized model is therefore converted into C++ code included into the source code of the Arduino hello world version.
• testing the model with input tensor values 0..2π

-- %USERSIG{UliRaich - 2023-12-18}%

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