Using pre-trained models in TensorFlow | Machine Learning for web developers

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Prototype ideas faster and save time going into production by using pre-trained models. These machine learning models have already been trained by someone else and for some cases are ready to be used for production. From object detection to sound recognition or pose estimation and body segmentation – you can do advanced things easily with TensorFlow.js pre-made models. What are pre-trained models? In this Google for Developers introduction, you'll discover the pre-trained models in TensorFlow that are free to use out of the box and see how to use them in just a few lines of code. Use cases for pre-trained models: * Audio detection and classification * Object detection (COCO-SSD) * Text recognition, detection, and classification * Speech recognition * Body segmentation and pose detection 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 2023-01-11 · Watch on YouTube ↗
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