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

From the creator

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

Published 2023-02-10 · Watch on YouTube ↗
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