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020 _a9781484236857
024 7 _a10.1007/978-1-4842-3685-7
_2doi
040 _dWaSeSS
_cAIMIT LIBRARY
050 4 _aQA75.5-76.95
072 7 _aUMA
_2bicssc
072 7 _aCOM014000
_2bisacsh
072 7 _aCOM018000
_2bisacsh
082 0 4 _a006.35
_21
_bGOYP
092 _aEBOOK
100 1 _aGoyal, Palash.
_932757
245 1 0 _aDeep learning for natural language processing
_bcreating neural networks with python /
_cBy Palash Goyal, Sumit Pandey and Karan Jain.
260 _aBerkeley, CA :
_bApress :
_bImprint: Apress,
_c2018.
300 _axvii,277p. ;
_bPB
_c23.5 cm
347 _atext file
_bPDF
_2rda
505 0 _aChapter 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.
506 _aRequires an SPL library card.
520 _aDiscover 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.
538 _aMode of access: World Wide Web.
650 0 _aComputer science
_932758
650 0 _aComputers
_932759
655 7 _aElectronic books.
_2local
_932760
700 1 _aPandey, Sumit.
_932761
700 1 _aJain, Karan.
_932762
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781484236840
856 4 0 _yView this electronic item in O'Reilly Online Learning: Academic/Public Library Edition.
_uhttps://ezproxy.spl.org/login?url=https://learning.oreilly.com/library/view/~/9781484236857/?ar
_zAn e-book available through full-text database.
942 _2ddc
_cBK
_e1st
_k006.35 GOYP
999 _c222710
_d222710
999 _b03647955