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| 007 | cr n | ||
| 008 | 180626s2018 xxu| o |||| 0|eng d | ||
| 020 | _a9781484236857 | ||
| 024 | 7 |
_a10.1007/978-1-4842-3685-7 _2doi |
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| 040 |
_dWaSeSS _cAIMIT LIBRARY |
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| 050 | 4 | _aQA75.5-76.95 | |
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_aUMA _2bicssc |
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_aCOM018000 _2bisacsh |
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_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. |
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| 300 |
_axvii,277p. ; _bPB _c23.5 cm |
||
| 347 |
_atext file _bPDF _2rda |
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| 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 |
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| 655 | 7 |
_aElectronic books. _2local _932760 |
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| 700 | 1 |
_aPandey, Sumit. _932761 |
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| 700 | 1 |
_aJain, Karan. _932762 |
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| 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 |
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| 999 | _b03647955 | ||