03219nam a22004575i 4500 ssj0002037945 WaSeSS 20220428154746.0 m d cr n 180626s2018 xxu| o |||| 0|eng d 9781484236857 10.1007/978-1-4842-3685-7 doi WaSeSS AIMIT LIBRARY QA75.5-76.95 UMA bicssc COM014000 bisacsh COM018000 bisacsh 006.35 1 GOYP EBOOK Goyal, Palash. 32757 Deep learning for natural language processing creating neural networks with python / By Palash Goyal, Sumit Pandey and Karan Jain. Berkeley, CA : Apress : Imprint: Apress, 2018. xvii,277p. ; PB 23.5 cm text file PDF rda Chapter 1: Introduction to NLP and Deep Learning -- Chapter 2: Word Vector representations -- Chapter 3: Unfolding Recurrent Neural Networks -- Chapter 4: Developing a Chatbot -- Chapter 5: Research Paper Implementation: Sentiment Classification. Requires an SPL library card. Discover the concepts of deep learning used for natural language processing (NLP), with full-fledged examples of neural network models such as recurrent neural networks, long short-term memory networks, and sequence-2-sequence models. You?ll start by covering the mathematical prerequisites and the fundamentals of deep learning and NLP with practical examples. The first three chapters of the book cover the basics of NLP, starting with word-vector representation before moving onto advanced algorithms. The final chapters focus entirely on implementation, and deal with sophisticated architectures such as RNN, LSTM, and Seq2seq, using Python tools: TensorFlow, and Keras. Deep Learning for Natural Language Processing follows a progressive approach and combines all the knowledge you have gained to build a question-answer chatbot system. This book is a good starting point for people who want to get started in deep learning for NLP. All the code presented in the book will be available in the form of IPython notebooks and scripts, which allow you to try out the examples and extend them in interesting ways. You will: Gain the fundamentals of deep learning and its mathematical prerequisites Discover deep learning frameworks in Python Develop a chatbot Implement a research paper on sentiment classification. Mode of access: World Wide Web. Computer science 32758 Computers 32759 Electronic books. local 32760 Pandey, Sumit. 32761 Jain, Karan. 32762 Springer eBooks Printed edition: 9781484236840 View this electronic item in O'Reilly Online Learning: Academic/Public Library Edition. https://ezproxy.spl.org/login?url=https://learning.oreilly.com/library/view/~/9781484236857/?ar An e-book available through full-text database. ddc BK 1st 006.35 GOYP 222710 222710 03647955 0 0 ddc 0 0 MCA AIMIT AIMIT 2022-03-24 Biblios Book Point 829.00 Bill no:6623; Bill dt:2022-03-23 1 006.35 GOYP MCA17044 2023-12-08 2023-11-08 00:00:00 2023-11-08 663.20 2022-04-28 BK