The limitless possibilities of on-device ML: From accessible toys to grading grapes
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26 дней – 3 3630:17Опубликовано 13 мая 2024, 22:54
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 → goo.gle/3wCCaDR
Watch episode 1 → goo.gle/3WGc5yd
Watch episode 2 → goo.gle/4b77mtX
Watch episode 3 → goo.gle/3UXswVA
Check out all of our videos about Project Gameface → goo.gle/project-gameface-yt
Subscribe to the TensorFlow channel → goo.gle/TensorFlow
#MediaPipe #Accessibility #Gaming
Speaker: Paul Ruiz
Products Mentioned: MediaPipe
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 → goo.gle/3wCCaDR
Watch episode 1 → goo.gle/3WGc5yd
Watch episode 2 → goo.gle/4b77mtX
Watch episode 3 → goo.gle/3UXswVA
Check out all of our videos about Project Gameface → goo.gle/project-gameface-yt
Subscribe to the TensorFlow channel → goo.gle/TensorFlow
#MediaPipe #Accessibility #Gaming
Speaker: Paul Ruiz
Products Mentioned: MediaPipe
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