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1
Intro
2
Slow Motion
3
Mobile Bert
4
TensorFlow Lite Models
5
Support Library
6
Performance
7
Techniques
8
Op Coverage
9
Selective Registration
10
microcontrollers
11
interpreter
12
Arduino
13
Applications
14
Person Detection
15
Conclusion
Description:
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore TensorFlow Lite, Google's lightweight cross-platform solution for mobile and embedded devices, in this 34-minute conference talk from TF World '19. Discover how to enable on-device machine learning inference with low latency, high performance, and a small binary size. Learn about Mobile Bert, TensorFlow Lite Models, Support Library, performance techniques, Op Coverage, Selective Registration, microcontrollers, interpreter, Arduino applications, and person detection. Presented by Pete Warden and Nupur Garg, this talk covers the standard solution at Google and the primary inference framework for all on-device use-cases.

TensorFlow Lite - Solution for Running ML On-Device

TensorFlow
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