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. 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.
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.
Product details
- Publisher : Springer; 1st ed. 2019 edition (June 24, 2019)
- Language : English
- Hardcover : ۶۴۹ pages
- ISBN-10 : ۳۰۳۰۱۴۵۹۵۶
- ISBN-13 : ۹۷۸-۳۰۳۰۱۴۵۹۵۸
- Item Weight : ۳.۱۲ pounds
- Dimensions : ۷ x 1.38 x 10 inches
- # Computer
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