Hello_worldTflite-microVersion < IoT_Course

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---+ 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<br />The quantized mode 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..2&pi;

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

---++ Comments

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Topic attachments
I	Attachment	History	Action	Size	Date	Who
png	hello_world_test_include.png	r1	manage	51.2 K	2023-12-18 - 16:00	UliRaich
png	hello_world_test_run.png	r1	manage	152.4 K	2023-12-18 - 16:00	UliRaich
png	tflite_examples_arduino.png	r1	manage	178.7 K	2023-12-18 - 16:01	UliRaich

Topic revision: r1 - 2023-12-18 - UliRaich