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The limitless possibilities of on-device ML: From accessible toys to grading grapes

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Paul and Lance imagine the future of what on device machine learning can do to make the world more accessible, accurate, and interesting

Chapters:
0:00 - Intro
0:42 - Toys
2:17 - Image Classification
3:43 - Audio Classification
4:50 - Language Skills
5:38 - Sign Language
7:07 - How recognition works
7:38 - License Plates
8:38 - Recognizing emotions
9:35 - Learn more

Resources:
Learn more about Project Gameface → https://goo.gle/3wCCaDR
Watch episode 1 → https://goo.gle/3WGc5yd
Watch episode 2 → https://goo.gle/4b77mtX
Watch episode 3 → https://goo.gle/3UXswVA

Check out all of our videos about Project Gameface → [LINK]
Subscribe to the TensorFlow channel → https://goo.gle/TensorFlow

#MediaPipe #Accessibility #Gaming

Speaker: Paul Ruiz
Category
Project
Tags
Google, developers, pr_pr: Core ML / TensorFlow
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