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.

Resource:
Download Raspberry Pi OS → https://goo.gle/3ysjJA9
YAMNET audio classification model → https://goo.gle/3wlwSbx
Raspberry Pi’s audio classification sample → https://goo.gle/3L2AJQr
Raspberry Pi’s object detection sample → https://goo.gle/3GaABw3
Coral’s IO talk → https://goo.gle/3M4HMJo
Train a custom audio classification model → https://goo.gle/3wmcMhk
Train a custom object detection model → https://goo.gle/3wmcVBo
TensorFlow Forum → https://goo.gle/3vZy9Gh

Speaker: Khanh LeViet

Watch more:
All Google I/O 2022 Sessions → https://goo.gle/IO22_AllSessions
ML/AI at I/O 2022 playlist → https://goo.gle/IO22_ML-AI
All Google I/O 2022 technical sessions → https://goo.gle/IO22_Sessions

Subscribe to TensorFlow → https://goo.gle/TensorFlow

#GoogleIO

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