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6.2: Converting Python saved models with the TensorFlow.js command line converter

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Learn how to retrain and convert Python models to the TensorFlow.js layers model format. Watch a step-by-step demo on how to load a colab notebook to save a Python model and how to install and use the TensorFlow.js command line converter to enable that model to run in the browser at scale. Get more eyes on your research models with a web based deployment and reduced serverside costs.

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
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