Exploring Tensorflow Hub: Using pre-trained web ML models 

In this section you’ll learn how to load models from a site known as TF-hub, which many folk from the wider TensorFlow community have deployed their pre-trained models to. For this exercise you shall be working with a model that expects an image as an input instead of a simple number that you have tried in earlier parts of this course along with some pre and post processing to send data into the model and then extract meaningful data out.
Catch more episodes from Machine Learning for Web Developers (Web ML) → goo.gle/learn-WebML
Check out TensorFlow on RU-vid → goo.gle/TensorFlow-RU-vid
Subscribe to Google Developers → goo.gle/developers
Connect with Jason Mayes to ask questions:
LinkedIn → goo.gle/3GwgeLw
Twitter →goo.gle/3Xh6MT7
Discord →goo.gle/3WWVO5t
Use #WebML to share your learnings and creations from this course to meet your peers on social media!
See what others have already made with Web ML → goo.gle/made-with-tfjs

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