Easily deploy TF Lite models to the web | Demo

Learn to bridge the gap between mobile and web machine learning (ML) development by deploying a compatible task library TensorFlow Lite model to the web with WebAssembly. We show how it can be done with a couple of lines of code. This supports image classification, image segmentation, object detection, and text classification use cases. Resources: Demo 1 → https://goo.gle/3vxb62N Demo 2 → https://goo.gle/3gLY79b Speaker: Jing Jin Watch more: TensorFlow at Google I/O 2021 Playlist → https://goo.gle/io21-TensorFlow-1 All Google I/O 2021 Demos → https://goo.gle/io21-alldemos All Google I/O 2021 Sessions → https://goo.gle/io21-allsessions Subscribe to TensorFlow → https://goo.gle/TensorFlow #GoogleIO #ML/AI, Open Source, Web product: TensorFlow - TensorFlow Lite; event: Google I/O 2021; fullname: Jing Jin;