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Exploring Deep Learning for Search

Tommaso Teofili
4.9/5 (30804 ratings)
Description:High-quality search is all about returning relevant results. Deep learning techniques can handle the toughest search challenges, including imprecise search terms, badly- indexed data, and retrieving images with minimal metadata. And because deep learn- ing systems improve the more you use them, your users’ experiences improve too.In this sampler, containing three chapters from my book Deep Learning for Search, you’ll get an introduction to search engines as well as machine learning and deep learning. You’ll be introduced to using neural networks for search and discover how they help you improve search experience and results. You’ll also take a close look at adding text-generation capabilities to your search engine to widen your search net using recurrent neural network (RNN) architecture. In the final chapter, you’ll delve into using convolutional neural networks to search images based on content instead of text.No previous search or deep learning background is necessary to benefit from the ideas, tips, and techniques in this mini ebook—only a keen interest in improving search with deep learning!We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Exploring Deep Learning for Search. To get started finding Exploring Deep Learning for Search, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
126
Format
PDF, EPUB & Kindle Edition
Publisher
Manning
Release
2019
ISBN
1617297836

Exploring Deep Learning for Search

Tommaso Teofili
4.4/5 (1290744 ratings)
Description: High-quality search is all about returning relevant results. Deep learning techniques can handle the toughest search challenges, including imprecise search terms, badly- indexed data, and retrieving images with minimal metadata. And because deep learn- ing systems improve the more you use them, your users’ experiences improve too.In this sampler, containing three chapters from my book Deep Learning for Search, you’ll get an introduction to search engines as well as machine learning and deep learning. You’ll be introduced to using neural networks for search and discover how they help you improve search experience and results. You’ll also take a close look at adding text-generation capabilities to your search engine to widen your search net using recurrent neural network (RNN) architecture. In the final chapter, you’ll delve into using convolutional neural networks to search images based on content instead of text.No previous search or deep learning background is necessary to benefit from the ideas, tips, and techniques in this mini ebook—only a keen interest in improving search with deep learning!We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Exploring Deep Learning for Search. To get started finding Exploring Deep Learning for Search, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
126
Format
PDF, EPUB & Kindle Edition
Publisher
Manning
Release
2019
ISBN
1617297836
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