5.3: Using layers models for transfer learning

From the creator

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 Check out TensorFlow on YouTube → https://goo.gle/TensorFlow-YouTube Subscribe to Google Developers → https://goo.gle/developers Connect with Jason Mayes to ask questions: LinkedIn → https://goo.gle/3GwgeLw Twitter →https://goo.gle/3Xh6MT7 Discord →https://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 → http://goo.gle/made-with-tfjs

Published 2023-02-08 · Watch on YouTube ↗
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