Further reading

For more information, refer to the following resources:

• TinyML example:

https://dev.to/tkeyo/tinyml-machine-learning-on-esp32-with-micropython-38a6

• Arm ML Embedded Evaluation kit:

https://review.mlplatform.org/plugins/gitiles/ml/ethos-u/ml-embedded-evaluation-kit/+/HEAD/docs/documentation.md#arm_ml-embedded-evaluation-kit

• Blog post on the optimization of ML models running on Arm Ethos-U microNPU:

https://community.arm.com/arm-community-blogs/b/ai-and-ml-blog/posts/optimize-a-ml-model-for-inference-on-ethos-u-micronpu

• TinyML audio classification example running on a Cortex-M0+ microcontroller board:

https://blog.tensorflow.org/2021/09/TinyML-Audio-for-everyone.html

• TinyML motion recognition example on Raspberry Pi Pico:

https://mjrobot.org/2021/03/12/tinyml-motion-recognition-using-raspberry-pi-pico/

• TensorFlow Lite for Microcontrollers: https://www.tensorflow.org/lite/microcontrollers...