Introduction to Deep Learning Business Applications for Developers Ebook Tooltip From Conversational Bots in Customer Service to Medical Image Processing

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  • Engels
  • E-book
  • 9781484234532
  • 02 mei 2018
  • Adobe ePub
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Discover the potential applications, challenges, and opportunities of deep learning from a business perspective with technical examples. These applications include image recognition, segmentation and annotation, video processing and annotation, voice recognition, intelligent personal assistants, automated translation, and autonomous vehicles.

An Introduction to Deep Learning Business Applications for Developers covers some common DL algorithms such as content-based recommendation algorithms and natural language processing. You’ll explore examples, such as video prediction with fully convolutional neural networks (FCNN) and residual neural networks (ResNets). You will also see applications of DL for controlling robotics, exploring the DeepQ learning algorithm with Monte Carlo Tree search (used to beat humans in the game of Go), and modeling for financial risk assessment. There will also be mention of the powerful set of algorithms called Generative Adversarial Neural networks (GANs) that can be applied for image colorization, image completion, and style transfer.

After reading this book you will have an overview of the exciting field of deep neural networks and an understanding of most of the major applications of deep learning. The book contains some coding examples, tricks, and insights on how to train deep learning models using the Keras framework.

What You Will Learn

  • Find out about deep learning and why it is so powerful

  • Work with the major algorithms available to train deep learning models

  • See the major breakthroughs in terms of applications of deep learning

  • Run simple examples with a selection of deep learning libraries

  • Discover the areas of impact of deep learning in business

Who This Book Is For

Data scientists, entrepreneurs, and business developers.

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Taal
en
Bindwijze
E-book
Oorspronkelijke releasedatum
02 mei 2018
Ebook Formaat
Adobe ePub
Illustraties
Nee

Betrokkenen

Hoofdauteur
Armando Vieira
Tweede Auteur
Bernardete Ribeiro
Hoofduitgeverij
Apress

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9781484234532

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