EAN: 9781484234525

INTRODUCTION TO DEEP LEARNING BUSINESS APPLICAT...

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.

Aktuelle Preise zur EAN 9781484234525

Produktinformationen zur 9781484234525