Deep learning for NLP and speech recognition / Uday Kamath, John Liu, James Whitaker.
Kamath, Uday, author.; Liu, John, author.; Whitaker, James, author.
2019
QA76.9.N38 K36 2019
Available Online

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Title Deep learning for NLP and speech recognition / Uday Kamath, John Liu, James Whitaker.
Author Kamath, Uday, author.
ISBN 9783030145965 (electronic book)
3030145964 (electronic book)
978303045958
Published Cham, Switzerland : Springer, [2019]
Language English
Description 1 online resource : illustrations
Item Number 10.1007/978-3-030-14
Call Number QA76.9.N38 K36 2019
Dewey Decimal Classification 006.35
Summary "With the widespread adoption of deep learning, natural language processing (NLP),and speech applications in many areas (including Finance, Healthcare, and Government) there is a growing need for one comprehensive resource that maps deep learning techniques to NLP and speech and provides insights into using the tools and libraries for real-world applications. Deep Learning for NLP and Speech Recognition explains recent deep learning methods applicable to NLP and speech, provides state-of-the-art approaches, and offers real-world case studies with code to provide hands-on experience."--Publisher's website.
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Source of Description Description based on online resource; title from digital title page (viewed on July 24, 2019).
Added Author Liu, John, author.
Whitaker, James, author.
Available in Other Form Print version 9783030145958
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
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Part I. Machine Learning, NLP, and Speech Introduction :
1. Introduction
2. Basics of Machine Learning
3. Text and Speech Basics
Part II. Deep Learning Basics :
4. Basics of Deep Learning
5. Distributed Representations
6. Convolutional Neural Networks
7. Recurrent Neural Networks
8. Automatic Speech Recognition
Part III. Advanced Deep Learning Techniques for Text and Speech :
9. Attention and Memory Augmented Networks
10. Transfer Learning: Scenarios, Self-Taught Learning, and Multitask Learning
11. Transfer Learning: Domain Adaptation
12. End-to-End Speech Recognition
13. Deep Reinforcement Learning for Text and Speech.

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