Android Developers1.32 млн
Опубликовано 24 июня 2020, 16:30
Khanh shows you how to train a TensorFlow Lite model that can recognize custom images with your own dataset using TensorFlow Lite Model Maker. Then, Hoi shows you how to integrate the model into an Android app using the new ML Model Binding plugin in Android Studio 4.1 beta.
Resources:
Codelab which goes through all the steps in this screencast → goo.gle/TFCodeLab
Android Studio 4.1 beta download → goo.gle/AS41
TensorFlow Model Maker → goo.gle/TFLMaker
Check out the 11 Weeks of Android website → goo.gle/30FDT8S
Related Playlists:
Machine Learning - 11 Weeks of Android playlist → goo.gle/ml-11weeks
11 Weeks of Android playlist → goo.gle/android-11weeks
Subscribe to Android Developers → goo.gle/AndroidDevs
Speakers:
Khanh LeViet, Hoi Lam
#featured #android11 #11WeeksOfAndroid
Resources:
Codelab which goes through all the steps in this screencast → goo.gle/TFCodeLab
Android Studio 4.1 beta download → goo.gle/AS41
TensorFlow Model Maker → goo.gle/TFLMaker
Check out the 11 Weeks of Android website → goo.gle/30FDT8S
Related Playlists:
Machine Learning - 11 Weeks of Android playlist → goo.gle/ml-11weeks
11 Weeks of Android playlist → goo.gle/android-11weeks
Subscribe to Android Developers → goo.gle/AndroidDevs
Speakers:
Khanh LeViet, Hoi Lam
#featured #android11 #11WeeksOfAndroid
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