About the 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.
Table of Contents
IntroductionBasics of Machine LearningText and Speech BasicsBasics of Deep LearningDistributed RepresentationsConvolutional Neural NetworksRecurrent Neural NetworksAutomatic Speech RecognitionAttention and Memory Augmented NetworksTransfer Learning: Scenarios, Self-Taught Learning, and Multitask LearningTransfer Learning: Domain AdaptationEnd-to-End Speech RecognitionDeep Reinforcement Learning for Text and Speech
