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Deep Learning Essentials

You're reading from   Deep Learning Essentials Your hands-on guide to the fundamentals of deep learning and neural network modeling

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Product type Paperback
Published in Jan 2018
Publisher Packt
ISBN-13 9781785880360
Length 284 pages
Edition 1st Edition
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Authors (3):
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Wei Di Wei Di
Author Profile Icon Wei Di
Wei Di
Anurag Bhardwaj Anurag Bhardwaj
Author Profile Icon Anurag Bhardwaj
Anurag Bhardwaj
Jianing Wei Jianing Wei
Author Profile Icon Jianing Wei
Jianing Wei
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Toc

Table of Contents (12) Chapters Close

Preface 1. Why Deep Learning? 2. Getting Yourself Ready for Deep Learning FREE CHAPTER 3. Getting Started with Neural Networks 4. Deep Learning in Computer Vision 5. NLP - Vector Representation 6. Advanced Natural Language Processing 7. Multimodality 8. Deep Reinforcement Learning 9. Deep Learning Hacks 10. Deep Learning Trends 11. Other Books You May Enjoy

Novel applications

So far in this book, we have seen numerous applications of deep learning in areas of text mining, computer vision, and multi-model learning. However, the ability to learn powerful, generalized representations of data has led to a recent surge in the number of new application domains for deep learning. These application areas range from healthcare, to software engineering, to computer systems organizations. In this section, we will look at some of the interesting novel applications of deep learning in these domains.

Genomics

One of the interesting application areas of deep learning is genomics, where advanced CNN models are used to learn structure from large and high-dimensional DNA datasets. One of the...

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