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5.3: Using layers models for transfer learning

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By using layers models in TensorFlow.js you can perform transfer learning and then combine the resulting new model to be saved a single model vs loading 2 models as you did in the prior video. This makes your deployment of the resulting model a little simpler and cleaner which is great for production. Here you will extend your existing TensorFlow.js code to get layers based models working in the browser instead.

Catch more episodes from Machine Learning for Web Developers (Web ML) → https://goo.gle/learn-WebML
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See what others have already made with Web ML → http://goo.gle/made-with-tfjs
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