Supplemental material

You can find screencasts and other content related to TinyML at youtube.com/user/petewarden

The latest versions of the examples are available at github.com/tensorflow/tensorflow/tree/master/tensorflow/lite/micro/examples, with Colabs containing documentation on the end to end training and deployment process usually inside individual train folders, like:

colab.research.google.com/github/tensorflow/tensorflow/blob/master/tensorflow/lite/micro/examples/hello_world/train/train_hello_world_model.ipynb

colab.research.google.com/github/tensorflow/tensorflow/blob/master/tensorflow/lite/micro/examples/micro_speech/train/train_micro_speech_model.ipynb

There is an EdX course available based on this book, that you can take for free:
edx.org/professional-certificate/harvardx-tiny-machine-learning

The TinyML Summit organizes conferences and meetups around embedded machine learning.

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