AI for Mobile and IoT Devices: TensorFlow Lite (Google I/O'19)

Imagine building an app that identifies products in real time with your camera or one that responds to voice commands instantly. In this session, you'll learn how to build AI into any device using TensorFlow Lite, and no ML experience is required. You’ll discover a library of pretrained models that are ready to use in your apps, or customize to your needs. You’ll see how quickly you can add ML to Android and iOS apps and learn about the future of on-device ML and our roadmap.
Watch more #io19 here: Machine Learning at Google I/O 2019 Playlist → goo.gle/2URpjol
TensorFlow at Google I/O 2019 Playlist → bit.ly/2GW7ZJM
Google I/O 2019 All Sessions Playlist → goo.gle/io19al...
Learn more on the I/O Website → google.com/io
Subscribe to the TensorFlow Channel → bit.ly/TensorF...
Get started at → www.tensorflow...
Speaker(s): Sarah Sirajuddin and Tim Davis
T76FCA event: Google I/O 2019; re_ty: Publish; product: TensorFlow - TensorFlow Lite; fullname: Sarah Sirajuddin;

[@rohinr7]

its awsm! how can we train and create tflite for custom dataset

[@X_platform]

During training with tf lite would be great if possible.
Training is the process that takes the most time.

[@元平徐]

How to reproduce Post-Train Quantization for MobileNetV1??

[@jeanmichelsarr6040]

Very nice, what is the min SDK to use tensorflow lite on device?

[@jopadjr]

Great Video !!! Cheers !!!

[@shantanu391996]

Teach me 😡