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Deep Learning Design Patterns (häftad, eng)

Manning Publications

Deep Learning Design Patterns (häftad, eng)

716 kr

716 kr

Tidigare lägsta pris:

749 kr

Få kvar

Tis, 7 jan - ons, 8 jan


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Produktbeskrivning

Deep learning has revealed ways to create algorithms for applications that we never dreamed were possible.

For software developers, the challenge lies in taking cutting-edge technologies from R&D labs through to production.   Deep Learning Design Patterns  is here to help. In it, you''ll find deep learning models presented in a unique new way: as extendable design patterns you can easily plug-and-play into your software projects.

Written by Google deep learning expert Andrew Ferlitsch, it''s filled with the latest deep learning insights and best practices from his work with Google Cloud AI. Each valuable technique is presented in a way that''s easy to understand and filled with accessible diagrams and code samples.

about the technologyYou don''t need to design your deep learning applications from scratch! By viewing cutting-edge deep learning models as design patterns, developers can speed up their creation of AI models and improve model understandability for both themselves and other users.

about the book Deep Learning Design Patterns  distills models from the latest research papers into practical design patterns applicable to enterprise AI projects.

Using diagrams, code samples, and easy-to-understand language, Google Cloud AI expert Andrew Ferlitsch shares insights from state-of-the-art neural networks. You''ll learn how to integrate design patterns into deep learning systems from some amazing examples, including a real-estate program that can evaluate house prices just from uploaded photos and a speaking AI capable of delivering live sports broadcasting.

Building on your existing deep learning knowledge, you''ll quickly learn to incorporate the very latest models and techniques into your apps as idiomatic, composable, and reusable design patterns.
 
what''s inside
  • Internal functioning of modern convolutional neural networks
  • Procedural reuse design pattern for CNN architectures
  • Models for mobile and IoT devices
  • Composable design pattern for automatic learning methods
  • Assembling large-scale model deployments
  • Complete code samples and example notebooks
  • Accompanying YouTube videos
about the readerFor machine learning engineers familiar with Python and deep learning.

about the author Andrew Ferlitsch  is an expert on computer vision and deep learning at Google Cloud AI Developer Relations.

He was formerly a principal research scientist for 20 years at Sharp Corporation of Japan, where he amassed 115 US patents and worked on emerging technologies in telepresence, augmented reality, digital signage, and autonomous vehicles. In his present role, he reaches out to developer communities, corporations and universities, teaching deep learning and evangelizing Google''s AI technologies



Format Häftad Omfång 400 sidor Språk Engelska Förlag Manning Publications Utgivningsdatum 2021-11-22 ISBN 9781617298264

Artikel.nr.

ffd30aa2-c99b-5e28-8c24-cbf7fa83784d

Egenskaper

Slag

Science Fiction

Språkversion

Engelska

Bokomslagstyp

Pocket

Antal sidor

472 sidor

Skrivet av

Andrew Ferlitsch

Utgivare

Manning

Släpp datum

5/10/2021

International Standard Book Number (ISBN)

9781617298264

Manning Publications

Deep Learning Design Patterns (häftad, eng)

716 kr

716 kr

Tidigare lägsta pris:

749 kr

Få kvar

Tis, 7 jan - ons, 8 jan


Säker betalning

Öppet köp till och med 7/1-25


Säljs och levereras av

Buyersclub.se