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.
Resource:
Download Raspberry Pi OS → [ Ссылка ]
YAMNET audio classification model → [ Ссылка ]
Raspberry Pi's audio classification sample → [ Ссылка ]
Raspberry Pi's object detection sample → [ Ссылка ]
Coral's IO talk → [ Ссылка ]
Train a custom audio classification model → [ Ссылка ]
Train a custom object detection model → [ Ссылка ]
TensorFlow Forum → [ Ссылка ]
Speaker: Khanh LeViet
Watch more:
All Google I/O 2022 Sessions → [ Ссылка ]
ML/AI at I/O 2022 playlist → [ Ссылка ]
All Google I/O 2022 technical sessions → [ Ссылка ]
Subscribe to TensorFlow → [ Ссылка ]
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