Master how to create intelligent IoT devices employing TensorFlow Lite and Raspberry Pi. Discover pre-educated item detection and seem classification versions that you can use off-the-shelf to “see” and “listen to” the surrounding environments. If the off-the-shelf models never fulfill your app’s wants, study how to obtain training info and practice your very own custom made models working with TensorFlow Lite Design Maker.
Resource:
Download Raspberry Pi OS → https://goo.gle/3ysjJA9
YAMNET audio classification product → https://goo.gle/3wlwSbx
Raspberry Pi’s audio classification sample → https://goo.gle/3L2AJQr
Raspberry Pi’s item detection sample → https://goo.gle/3GaABw3
Coral’s IO talk → https://goo.gle/3M4HMJo
Coach a customized audio classification product → https://goo.gle/3wmcMhk
Coach a custom made object detection design → https://goo.gle/3wmcVBo
TensorFlow Forum → https://goo.gle/3vZy9Gh
Speaker: Khanh LeViet
View additional:
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 complex periods → https://goo.gle/IO22_Classes
Subscribe to TensorFlow → https://goo.gle/TensorFlow
