Practical Weak Supervision
doing more with less data
$137.59
- Paperback
200 pages
- Release Date
31 October 2021
Summary
Unlock Deep Learning with Weak Supervision: Build Powerful Models Without Massive Labeled Datasets
Build products using deep learning, weakly supervised learning, and natural language processing without collecting millions of training records.
This practical book explains how to ship deep learning models, since most of these projects never leave the lab.
Deep networks have enabled new applications using unstructured data to proliferate, but much of the work means col…
Book Details
| ISBN-13: | 9781492077060 |
|---|---|
| ISBN-10: | 1492077062 |
| Author: | Wee Hyong Tok, Amit Bahree, Senja Filipi |
| Publisher: | O'Reilly Media |
| Imprint: | O'Reilly Media |
| Format: | Paperback |
| Number of Pages: | 200 |
| Release Date: | 31 October 2021 |
| Weight: | 344g |
| Dimensions: | 233mm x 178mm |
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About The Author
Wee Hyong Tok
Wee Hyong is a product and AI leader with a background in product management, machine learning/deep learning, research, and working on complex technical engagements with customers. Over the years, he has demonstrated that the early thought-leadership whitepapers he wrote on tech trends have become reality, and are deeply integrated into many products. Wee Hyong has worn many hats in his career—developer, program/product manager, data scientist, researcher, and strategist, and his range of experience has given him unique superpowers to lead and define the strategy for high-performing data and AI innovation teams.
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