Introduction

High-quality search is all about returning relevant results. Deep learning techniques can handle the toughest search challenges, including imprecise search terms, badlyindexed data, and retrieving images with minimal metadata. And because deep learning 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!