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Introduction to Deep Learning Business Applications for Developers

By Bernardete Ribeiro

Product Image: Introduction to Deep Learning Business Applications for Developers

Introduction to Deep Learning Business Applications for Developers

By Bernardete Ribeiro

0 - Default Title
Description
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. Yoüll 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 LearnFind 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.
Product details
Binding:
Paperback
Edition:
1
Number of Pages:
368
Release Date:
2018-05-03
Publication Date:
2018-05-03
Publisher:
Apress
Languages:
Original: English
ISBN10:
1484234529
ISBN13:
9781484234525
GPSR Manufacturer Reference:
[email protected]
Weight:
557 g
Height:
155 cm
Width:
235 cm
Thickness:
20 cm
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