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Introduction to Deep Learning Business Applications for Developers: From Conversational Bots in Customer Service to Medical Image Processing eBook
$34.99 Original price was: $34.99.$7.00Current price is: $7.00.
By: Armando Vieira; Bernardete Ribeiro
Publisher: Apress
Print ISBN: 9781484234525, 1484234529
eText ISBN: 9781484234532, 1484234537
Copyright year: 2018
Format: Reflowable
eText ISBN: 9781484234532
SKU: 9781484234532
Category: Trending
Tags: Computers, Intelligence (AI) & Semantics
Print ISBN: 9781484234525
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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