Abstract
In recent years, there have been numerous breakthroughs by deep learning in various natural language processing (NLP) fields. This chapter will introduce common deep learning models and practical skills in NLP tasks, which also lay the foundations in machine reading comprehension models. This includes deep learning techniques for natural language understanding and generation. This chapter requires a basic understanding of deep learning, neural networks, and PyTorch, which are described in detail in Appendix B.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
