Deep Learning in Natural Language ProcessingDeep Learning in Natural Language Processing
In recent years, deep learning has fundamentally changed the landscapes of a number of areas in artificial intelligence, including speech, vision, natural language, robotics, and game playing. In particular, the striking success of deep learning in a wide variety of natural language processing (NLP) applications has served as a benchmark for the ad ...
Number of pages: 329 | Publication Date: 2018-05-24 | ISBN-13: 9789811052088

Neural Network Methods in Natural Language Processing (Synthesis Lectures on Human Language Technologies)Neural Network Methods in Natural Language Processing (Synthesis Lectures on Human Language Technologies)
Yoav Goldberg
Neural networks are a family of powerful machine learning models. This book focuses on the application of neural network models to natural language data. The first half of the book (Parts I and II) covers the basics of supervised machine learning and feed-forward neural networks, the basics of working with machine learning over language data, and t ...
Number of pages: 310 | Publication Date: 2017-04-17 | ISBN-13: 9781627052986

Natural Language Processing with TensorFlowNatural Language Processing with TensorFlow
Thushan Ganegedara
Write modern natural language processing applications using deep learning algorithms and TensorFlowKey FeaturesFocuses on more efficient natural language processing using TensorFlowCovers NLP as a field in its own right to improve understanding for choosing TensorFlow tools and other deep learning approachesProvides choices for how to process and e ...
Number of pages: 472 | Publication Date: 2018-05-31 | ISBN-13: 9781788478311

Deep Learning for Natural Language ProcessingDeep Learning for Natural Language Processing
Palash Goyal
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 practi ...
Number of pages: 296 | Publication Date: 2018-06-27 | ISBN-13: 9781484236840

Natural Language Processing with Python CookbookNatural Language Processing with Python Cookbook
by Krishna Bhavsar, Naresh Kumar, Pratap Dangeti
Learn the tricks and tips that will help you design Text Analytics solutionsKey FeaturesIndependent recipes that will teach you how to efficiently perform Natural Language Processing in PythonUse dictionaries to create your own named entities using this easy-to-follow guideLearn how to implement NLTK for various scenarios with the help of example-r ...
Number of pages: 316 | Publication Date: 2017-11-24 | ISBN-13: 9781787289321

Design PatternsDesign Patterns
used book,allmost in new condition, no highlights,for prompt shipping choose expedite shipping, standard shipping 18-20 days, shipment from india ...
Number of pages: --- | Publication Date: 2000-01-01 | ISBN-13: 9787111211266

Automatic Speech RecognitionAutomatic Speech Recognition
by Dong Yu, Li Deng
This book provides a comprehensive overview of the recent advancement in the field of automatic speech recognition with a focus on deep learning models including deep neural networks and many of their variants. This is the first automatic speech recognition book dedicated to the deep learning approach. In addition to the rigorous mathematical treat ...
Number of pages: 321 | Publication Date: 2014-11-11 | ISBN-13: 9781447157786

Robust Automatic Speech RecognitionRobust Automatic Speech Recognition
by Jinyu Li, Li Deng, Reinhold Haeb-Umbach, Yifan Gong
Robust Automatic Speech Recognition: A Bridge to Practical Applications establishes a solid foundation for automatic speech recognition that is robust against acoustic environmental distortion. It provides a thorough overview of classical and modern noise-and reverberation robust techniques that have been developed over the past thirty years, with ...
Number of pages: 306 | Publication Date: 2015-10-26 | ISBN-13: 9780128023983

Discriminative Learning for Speech RecognitionDiscriminative Learning for Speech Recognition
by Xiaodong He, Li Deng
In this book, we introduce the background and mainstream methods of probabilistic modeling and discriminative parameter optimization for speech recognition. The specific models treated in depth include the widely used exponential-family distributions and the hidden Markov model. A detailed study is presented on unifying the common objective functio ...
Number of pages: 112 | Publication Date: 2008-08-12 | ISBN-13: 9781598293081

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