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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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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

NLP - Vector Representation

Natural language processing (NLP) is one of the most important technologies in machine learning. Understanding complex language is a crucial part of artificial intelligence (AI). The applications of NLP are almost everywhere, as we communicate mostly through language and store human knowledge mostly in language as well. This includes web searches, advertisements, emails, customer service, machine translation, and so on. Some of the hot research areas include language modeling (speech recognition, machine translation), word-sense learning and disambiguation, reasoning over knowledge bases, acoustic modeling, part-of-speech tagging, name-entity recognition, sentiment analysis, chatbot, question/answering, and others. Each of these tasks requires a deep understanding of the task or the application, as well as effective and fast machine learning models...

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