01835nam a22002057a 4500003000400000005001700004008004100021020002200062028005800084040002400142082001700166100001500183245010600198260006100304300000800365504121200373650001201585650001301597700001901610OSt20200219161750.0200117b           ||||| |||| 00| 0 eng d  a978-93-5213-786-8  bAllied Informatics, Jaipurc7084d13/01/2020q2019-20  aBSDUbEnglishcBSDU  a005.133bRAO  aRao, Delip  aNatural Language Processing With PyTorch: Build intelligent language applications using deep learning  aMumbaibShroff Publishers & Distributors Pvt. Ltd.c2019  a238  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
  aPyTorch  aLanguage  aMcMahan, Brian