Build a smart IoT device with TensorFlow Lite and Raspberry Pi

Learn how to build smart IoT devices using TensorFlow Lite and Raspberry Pi. Discover pre-trained object detection and sound classification models that you can use off-the-shelf to “see” and “hear” the surrounding environments. If the off-the-shelf models don’t satisfy your app’s needs, learn how to collect training data and train your own custom models using TensorFlow Lite Model Maker.

Download Raspberry Pi OS →
YAMNET audio classification model →
Raspberry Pi’s audio classification sample →
Raspberry Pi’s object detection sample →
Coral’s IO talk →
Train a custom audio classification model →
Train a custom object detection model →
TensorFlow Forum →

Speaker: Khanh LeViet

Watch more:
All Google I/O 2022 Sessions →
ML/AI at I/O 2022 playlist →
All Google I/O 2022 technical sessions →

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