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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Deep Learning for Nlp and Speech Recognition

Deep Learning for Nlp and Speech Recognition

Kamath, Uday
Liu, John
Whitaker, James

Paperback

Technology & EngineeringGeneral ComputersProgramming

ISBN10: 3030145980
ISBN13: 9783030145989
Publisher: Springer Nature
Published: Aug 14 2020
Pages: 621
Weight: 2.45
Height: 1.31 Width: 7.00 Depth: 10.00
Language: English
This textbook explains Deep Learning Architecture, with applications to various NLP Tasks, including Document Classification, Machine Translation, Language Modeling, and Speech Recognition. 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.

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