Boost your App with Machine Learning APIs

on YouTube ↗01h 00m

" summary

Overview of concrete APIs and what they actually do: Natural Language API returns entity IDs, syntax and sentiment for text; Translate and Speech-to-Text cover 100+ languages; Vision and Video Intelligence give labels, face landmarks, web matches and timestamps; Cloud Text-to-Speech uses Wavenet voices indistinguishable 50% of the time and Duplex combines them. Live pipeline demo uploads images to a bucket, triggers cloud functions to call Vision, stores JSON, composites a mustache and crops the largest face (live demo: mustache added via cloud functions), then translates and annotates text for entity and sentiment extraction (vision API finds Eiffel Tower in Las Vegas).

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" chapters (15)

1. 0:00Start
2. 0:25Introduction
3. 2:30Agenda
4. 3:57Three Ways You Can Benefit from Machine Learning
5. 8:11Examples
6. 11:14Analyzing the Sentiment
7. 15:45Google Translate
8. 21:32The Reverse Text-to-Speech Api
9. 26:07The Vision Api
10. 34:00Video Intelligence Api
11. 40:50Live Demo
12. 47:25Demo
13. 49:10Face Detection
14. 51:29Translation Api and the Natural Language Api
15. 57:36Wrap Up

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