TY  - GEN
N2  - "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.
AB  - "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.
T1  - Deep learning for NLP and speech recognition /
AU  - Kamath, Uday,
AU  - Liu, John,
AU  - Whitaker, James,
CN  - QA76.9.N38
ID  - 891693
KW  - Natural language processing (Computer science)
KW  - Automatic speech recognition.
SN  - 9783030145965
SN  - 3030145964
TI  - Deep learning for NLP and speech recognition /
LK  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-14596-5
UR  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-14596-5
ER  -