Please note: In order to keep Hive up to date and provide users with the best features, we are no longer able to fully support Internet Explorer. The site is still available to you, however some sections of the site may appear broken. We would encourage you to move to a more modern browser like Firefox, Edge or Chrome in order to experience the site fully.

Supporting your high street Find out how »
Neural Search - From Prototype to Production with Jina : Build deep learning-powered search systems that you can deploy and manage with ease, Paperback / softback Book

Neural Search - From Prototype to Production with Jina : Build deep learning-powered search systems that you can deploy and manage with ease Paperback / softback

Paperback / softback

Out of stock

Description

Implement neural search systems on the cloud by leveraging Jina design patternsKey FeaturesIdentify the different search techniques and discover applications of neural searchGain a solid understanding of vector representation and apply your knowledge in neural searchUnlock deeper levels of knowledge of Jina for neural searchBook DescriptionSearch is a big and ever-growing part of the tech ecosystem.

Traditional search, however, has limitations that are hard to overcome because of the way it is designed.

Neural search is a novel approach that uses the power of machine learning to retrieve information using vector embeddings as first-class citizens, opening up new possibilities of improving the results obtained through traditional search. Although neural search is a powerful tool, it is new and finetuning it can be tedious as it requires you to understand the several components on which it relies.

Jina fills this gap by providing an infrastructure that reduces the time and complexity involved in creating deep learning-powered search engines.

This book will enable you to learn the fundamentals of neural networks for neural search, its strengths and weaknesses, as well as how to use Jina to build a search engine.

With the help of step-by-step explanations, practical examples, and self-assessment questions, you'll become well-versed with the basics of neural search and core Jina concepts, and learn to apply this knowledge to build your own search engine. By the end of this deep learning book, you'll be able to make the most of Jina's neural search design patterns to build an end-to-end search solution for any modality. What you will learnUnderstand how neural search and legacy search workGrasp the machine learning and math fundamentals needed for neural searchGet to grips with the foundation of vector representationExplore the basic components of JinaAnalyze search systems with different modalitiesUncover the capabilities of Jina with the help of practical examplesWho this book is forIf you are a machine learning, deep learning, or artificial intelligence engineer interested in building a search system of any kind (text, QA, image, audio, PDF, 3D models, or others) using modern software architecture, this book is for you.

This book is perfect for Python engineers who are interested in building a search system of any kind using state-of-the-art deep learning techniques.

Information

£29.99

Out of stock
Add to Basket
Sign in to add to wishlist
 
Free Home Delivery

on all orders

 
Pick up orders

from local bookshops

Information