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Deep learning for search /

"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 lan...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Teofili, Tommaso
Otros Autores: Mattmann, Chris A.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Shelter Island, NY : Manning Publications Co., [2019]
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

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245 1 0 |a Deep learning for search /  |c Tommaso Teofili ; foreword by Chris Mattmann. 
260 |a Shelter Island, NY :  |b Manning Publications Co.,  |c [2019] 
300 |a 1 online resource (xxi, 303 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
504 |a Includes index. 
505 0 |a Part 1. Search meets deep learning. Neural search -- Generating synonyms -- Part 2. Throwing neural nets at a search engine. From plain retrieval to text generation -- More-sensitive query suggestions -- Ranking search results with word embeddings -- Document embeddings for rankings and recommendations -- Part 3. One step beyond. Searching across languages -- Content-based image search -- A peek at performance. 
520 |a "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. "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!"--  |c Provided by publisher. 
590 |a O'Reilly  |b O'Reilly Online Learning: Academic/Public Library Edition 
650 0 |a Machine learning. 
650 0 |a Neural networks (Computer science) 
650 0 |a Web search engines. 
650 0 |a Web sites  |x Design. 
650 2 |a Neural Networks, Computer 
650 6 |a Apprentissage automatique. 
650 6 |a Réseaux neuronaux (Informatique) 
650 6 |a Moteurs de recherche sur Internet. 
650 6 |a Sites Web  |x Conception. 
650 7 |a Machine learning.  |2 fast  |0 (OCoLC)fst01004795 
650 7 |a Neural networks (Computer science)  |2 fast  |0 (OCoLC)fst01036260 
650 7 |a Web search engines.  |2 fast  |0 (OCoLC)fst01173234 
650 7 |a Web sites  |x Design.  |2 fast  |0 (OCoLC)fst01173252 
700 1 |a Mattmann, Chris A. 
776 0 8 |i Print version:  |a Teofili, Tommaso.  |t Deep learning for search.  |d Shelter Island, NY : Manning Publications Co., [2019]  |w (DLC) 2019285490 
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