arduino-esp32/libraries/TFLiteMicro/examples/hello_world
Lucas Saavedra Vaz 6bfcd6d9a9
refactor(style): Change some style options (#9526)
* refactor(style): Change some style options

* refactor(style): Apply style changes
2024-04-19 18:16:55 +03:00
..
constants.cpp Add TFLite Micro examples (#8717) 2023-10-06 13:50:53 +03:00
constants.h Add TFLite Micro examples (#8717) 2023-10-06 13:50:53 +03:00
hello_world.ino refactor(style): Change some style options (#9526) 2024-04-19 18:16:55 +03:00
model.cpp refactor(style): Change some style options (#9526) 2024-04-19 18:16:55 +03:00
model.h Add TFLite Micro examples (#8717) 2023-10-06 13:50:53 +03:00
output_handler.cpp refactor(style): Change some style options (#9526) 2024-04-19 18:16:55 +03:00
output_handler.h Add TFLite Micro examples (#8717) 2023-10-06 13:50:53 +03:00
README.md Add TFLite Micro examples (#8717) 2023-10-06 13:50:53 +03:00

Hello World Example

This example is designed to demonstrate the absolute basics of using TensorFlow Lite for Microcontrollers. It includes the full end-to-end workflow of training a model, converting it for use with TensorFlow Lite for Microcontrollers for running inference on a microcontroller.

The model is trained to replicate a sine function and generates a pattern of data to either blink LEDs or control an animation, depending on the capabilities of the device.

Deploy to ESP32

The sample has been tested on ESP-IDF version release/v4.2 and release/v4.4 with the following devices: