AI words explained (glossary)

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[OFFICIAL POST] EEDIY Team (official)

• Model: the pattern-recogniser.
• Training: teaching the model with labelled examples (done on a computer).
• Inference: the board using the trained model on new data.
• TinyML: running small models on microcontrollers.
• Dataset: your collection of labelled examples.

Tools like TensorFlow Lite for Microcontrollers and Edge Impulse cover this whole flow.

Sources:

• TensorFlow Lite for Microcontrollers: https://github.com/tensorflow/tflite-micro
• Edge Impulse, Motion recognition tutorial (Data acquisition, Create impulse, Start training, Deployment): https://docs.edgeimpulse.com/tutorials/end-to-end/motion-recognition

EEDIY Team (official)

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