Training and deploying ML models on edge devices (TF Fall 2020 Updates)

Learn how to train and deploy an ML model on an Android app in just a few lines of code with TensorFlow Lite Model Maker and Android Studio. From here you can then explore how to use various tools from Google to turn a prototype into a production app. Presented by Khanh LeViet, Developer Advocate for TensorFlow (@khanlvg). Flower classification codelab → https://goo.gle/3pJeh56 TF Lite pretrained models → https://goo.gle/2Uvr3a9 Learn more about TF Lite → https://goo.gle/2Wk5MPM Check out more TF Fall 2020 updates → https://goo.gle/tf-fall-updates Subscribe to TensorFlow → https://goo.gle/TensorFlow #tensorflowupdates