000 02608nam a22002417a 4500
999 _c2644
_d2644
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008 220629b ||||| |||| 00| 0 eng d
020 _a9783030145989
082 _a006.35
_bKAM
100 _aKamath, Uday
_97014
245 _aDeep learning for NLP and speech recognition
260 _bSpringer
_aSwitzerland
_c2019
300 _axxvi, 621 p.
365 _aEURO
_b79.99
520 _aAbout this book 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. The book is organized into three parts, aligning to different groups of readers and their expertise. The three parts are: Machine Learning, NLP, and Speech Introduction The first part has three chapters that introduce readers to the fields of NLP, speech recognition, deep learning and machine learning with basic theory and hands-on case studies using Python-based tools and libraries. Deep Learning Basics The five chapters in the second part introduce deep learning and various topics that are crucial for speech and text processing, including word embeddings, convolutional neural networks, recurrent neural networks and speech recognition basics. Theory, practical tips, state-of-the-art methods, experimentations and analysis in using the methods discussed in theory on real-world tasks. Advanced Deep Learning Techniques for Text and Speech The third part has five chapters that discuss the latest and cutting-edge research in the areas of deep learning that intersect with NLP and speech. Topics including attention mechanisms, memory augmented networks, transfer learning, multi-task learning, domain adaptation, reinforcement learning, and end-to-end deep learning for speech recognition are covered using case studies.
650 _aAutomatic speech recognition
_97015
650 _aNatural language processing (Computer science)
_97016
650 _aPython (Computer program language)
_98311
650 _aArtificial intelligence
_91478
700 _aLiu, John
_97018
700 _aWhitaker, James
_97019
942 _2ddc
_cBK