5.1: Transfer learning: Retraining existing models in the web browser with TensorFlow.js
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157 дней – 1 8670:25Опубликовано 7 февраля 2023, 15:00
Learn about transfer learning, reusing existing trained models in the browser to solve similar but different problems, and it’s advantages like how it can greatly improve the time needed to retain a model. Go further with your TensorFlow.js knowledge. In this video you will use MobileNet as a case study for a base model to use for transfer learning for the purpose of image classification.
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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