Optimize your TensorFlow Lite models | Session
Mobile and embedded devices have limited computational resources, so it’s important to keep your application resource efficient. In this Session, we cover performance and model optimization tools, techniques, best practices that you can use to improve your model performance, and ensure that your model runs well within these constraints.
Resources:
Tensorflow Lite → https://goo.gle/2QCwBjG
Tensorflow Model Optimization → https://goo.gle/2Ra9zR3
Hosted Models on TFHub → https://goo.gle/3nwxXZe
Speakers: Ethan Kim, Yunlu Li
Watch more:
TensorFlow at Google I/O 2021 Playlist → https://goo.gle/io21-TensorFlow-1
All Google I/O 2021 Technical Sessions → https://goo.gle/io21-technicalsessions
All Google I/O 2021 Sessions → https://goo.gle/io21-allsessions
Subscribe to TensorFlow → https://goo.gle/TensorFlow
#GoogleIO #ML/AI #Opensource
product: TensorFlow – TensorFlow Lite; event: Google I/O 2021; fullname: Ethan Kim, Yunlu Li; re_ty: Premiere;
