000			01898nam a22002297a 4500
999			_c2453 _d2453
003			OSt
005			20200219161750.0
008			200117b ||||| |||| 00| 0 eng d
020			_a978-93-5213-786-8
028			_bAllied Informatics, Jaipur _c7084 _d13/01/2020 _q2019-20
040			_aBSDU _bEnglish _cBSDU
082			_a005.133 _bRAO
100			_aRao, Delip
245			_aNatural Language Processing With PyTorch: Build intelligent language applications using deep learning
260			_aMumbai _bShroff Publishers & Distributors Pvt. Ltd. _c2019
300			_a238
504			_aAll Indian Reprints of O'Reilly are printed in Grayscale. Natural Language Processing (NLP) provides boundless opportunities for solving problems in artificial intelligence, making products such as Amazon Alexa and Google Translate possible. If you’re a developer or data scientist new to NLP and deep learning, this practical guide shows you how to apply these methods using PyTorch, a Python-based deep learning library. Authors Delip Rao and Brian McMahon provide you with a solid grounding in NLP and deep learning algorithms and demonstrate how to use PyTorch to build applications involving rich representations of text specific to the problems you face. Each chapter includes several code examples and illustrations. •Explore computational graphs and the supervised learning paradigm •Master the basics of the PyTorch optimized tensor manipulation library •Get an overview of traditional NLP concepts and methods •Learn the basic ideas involved in building neural networks •Use embeddings to represent words, sentences, documents, and other features •Explore sequence prediction and generate sequence-to-sequence models •Learn design patterns for building production NLP systems
650			_aPyTorch
650			_aLanguage
700			_aMcMahan, Brian
942			_2ddc _cBK