 Название: Deep Learning for Search
Автор: Tommaso Teofili
Издательство: Manning Publications
Год: 2019
Страниц: 328
Язык: английский
Формат: pdf (true)
Размер: 10,1 MB
Deep Learning for Search teaches readers how to leverage neural networks, NLP, and deep learning techniques to improve search performance.
Deep Learning for Search teaches readers how to improve the effectiveness of your search by implementing neural network-based techniques. By the time their finished, they'll be ready to build amazing search engines that deliver the results your users need and get better as time goes on!
Deep Learning for Search teaches you to improve your search results with neural networks. You’ll review how DL relates to search basics like indexing and ranking. Then, you’ll walk through in-depth examples to upgrade your search with DL techniques using Apache Lucene and Deeplearning4j. As the book progresses, you’ll explore advanced topics like searching through images, translating user queries, and designing search engines that improve as they learn!
About the Technology:
Deep learning handles the toughest search challenges, including imprecise search terms, badly indexed data, and retrieving images with minimal metadata. And with modern tools like DL4J and TensorFlow, you can apply powerful DL techniques without a deep background in data science or natural language processing (NLP). This book will show you how.
What's inside:
Accurate and relevant rankings
Searching across languages
Content-based image search
Search with recommendations
About the reader:
For developers comfortable with Java or a similar language and search basics. No experience with deep learning or NLP needed.
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