4.1: Rolling your own Web ML models from a blank canvas
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51 день – 12 64316:44Опубликовано 3 февраля 2023, 23:00
In this chapter of the course you will learn how to write your own Web ML models for situations where there may not be a pre-trained model for your industry or use case.
Catch more episodes from Machine Learning for Web Developers (Web ML) → goo.gle/learn-WebML
Check out TensorFlow on YouTube → goo.gle/TensorFlow-YouTube
Subscribe to Google Developers → goo.gle/developers
Connect with Jason Mayes to ask questions:
LinkedIn → goo.gle/3GwgeLw
Twitter →goo.gle/3Xh6MT7
Discord →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 → goo.gle/made-with-tfjs
Catch more episodes from Machine Learning for Web Developers (Web ML) → goo.gle/learn-WebML
Check out TensorFlow on YouTube → goo.gle/TensorFlow-YouTube
Subscribe to Google Developers → goo.gle/developers
Connect with Jason Mayes to ask questions:
LinkedIn → goo.gle/3GwgeLw
Twitter →goo.gle/3Xh6MT7
Discord →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 → goo.gle/made-with-tfjs
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