February 2020
Intermediate to advanced
560 pages
22h 18m
English
Content preview from Deep Learning with JavaScriptBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Chapter 12. Testing, optimizing, and deploying models
—WITH CONTRIBUTIONS FROM YANNICK ASSOGBA, PING YU, AND NICK KREEGER
This chapter covers
- The importance of and practical guidelines for testing and monitoring machine-learning code
- How to optimize models trained in TensorFlow.js or converted to TensorFlow.js for faster loading and inference
- How to deploy TensorFlow.js models to various platforms and environments, ranging from browser extensions to mobile apps, and from desktop apps to single-board computers
As we mentioned in chapter 1, machine learning differs from traditional software engineering in that it automates the discovery of rules and heuristics. The previous chapters of the book should have given you a solid understanding ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.