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-...
Check out TensorFlow on KZbin → goo.gle/Tensor...
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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-wi...

[@GoogleDevelopers]

Catch more episodes from Machine Learning for Web Developers (Web ML) → goo.gle/learn-WebML

[@jasonmayes_goog]

UPDATE: TF HUB Has now moved to Kaggle Models! You should be able to use the filters there in a similar manner to find the same models :-)

[@DavidGarcia-yf8po]

Is there another place besides kaggle where I can find models?

[@m.najamudinridha2919]

great explainer videos

[@forheuristiclifeksh7836]

1:30 Tensorflow hub

[@Somens8Dworld]

please make a flutter playlist on this topic 😊