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6.1: Using models from Python in the web browser with TensorFlow.js

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In this video learn about the benefits of converting models that may be currently in Python to output them to a web browser friendly format with TensorFlow.js to get more reach and usage than ever before. This is great for researchers who want more eyes on their cutting edge models so they can find bugs and biases faster than ever before, which itself can drive better models down the line.

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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