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YouTube

ML On-Device: Building Efficient Models

Open Data Science via YouTube

Overview

Explore the world of on-device machine learning in this 34-minute video presentation by Danni Li. Dive into the intricacies of building efficient models for mobile and edge devices, enabling real-time tasks like image recognition and natural language processing. Learn about the advantages of on-device ML, including enhanced privacy and instantaneous decision-making. Discover efficient model training and inference techniques, and gain insights into valuable learning resources. Conclude with a Q&A session to deepen your understanding of this cutting-edge technology that powers features like beauty filters in video apps while preserving data privacy.

Syllabus

- Intro
- On Device ML
- Efficient Model and Training Inference
- Learning Resources
- Q&A

Taught by

Open Data Science

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