Deep training for search engines
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The book tells how to use deep neural networks to create effective search engines. Several components of the search engine are considered, an idea of how they work, and recommendations for the use of neural networks in different search contexts are given. Particular attention is paid to the practical explanation of search methods and deep machine learning based on examples, most of which include code fragments.
The author illuminates the main problems associated with search engines, and indicates ways to solve these problems. It reveals the principles of testing the effectiveness of neural networks, as well as measuring their costs and benefits.
The publication is intended for readers who own programming at the middle level and delaying search engines in order to increase their effectiveness, that is, issuing the most relevant results
The author illuminates the main problems associated with search engines, and indicates ways to solve these problems. It reveals the principles of testing the effectiveness of neural networks, as well as measuring their costs and benefits.
The publication is intended for readers who own programming at the middle level and delaying search engines in order to increase their effectiveness, that is, issuing the most relevant results
Author:
Author:Theophili Tommaso
Cover:
Cover:Hard
Category:
- Category:Computer & Technology
ISBN:
ISBN:978-5-97060-776-3
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