Introduction to deep learning business applications for developers : from conversational bots in customer service to medical image processing / Armando Vieira, Bernardete Ribeiro.
2018
Q325.5
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Online Access
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Unlimited
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Authorized users
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Can lend chapters, not whole ebooks
Details
Title
Introduction to deep learning business applications for developers : from conversational bots in customer service to medical image processing / Armando Vieira, Bernardete Ribeiro.
Author
Vieira, Armando, author.
ISBN
9781484234532 (electronic book)
1484234537 (electronic book)
9781484234525
1484234529
1484234537 (electronic book)
9781484234525
1484234529
Published
Berkeley, CA : Apress, 2018.
Language
English
Description
1 online resource (xxi, 343 pages) : illustrations.
Item Number
10.1007/978-1-4842-3453-2 doi
Call Number
Q325.5
Dewey Decimal Classification
006.3/1
Summary
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. You will: 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.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Digital File Characteristics
text file PDF
Added Author
Ribeiro, Bernardete, author.
Available in Other Form
Print version: 9781484234525
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Online Access
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Table of Contents
1 Introduction
2 Deep Learning: An Overview
3 Deep Neural Network Models
4 Image Processing
5 Natural Language Processing and Speech
6 Reinforcement Learning and Robotics
7 Recommendations Algorithms and Advertising
8 Games and Art
9 Other Applications
10 Business Impact of DL Technology
11 New Research and Future Directions
Appendix Training DNN with Keras.
2 Deep Learning: An Overview
3 Deep Neural Network Models
4 Image Processing
5 Natural Language Processing and Speech
6 Reinforcement Learning and Robotics
7 Recommendations Algorithms and Advertising
8 Games and Art
9 Other Applications
10 Business Impact of DL Technology
11 New Research and Future Directions
Appendix Training DNN with Keras.