Natural Language Processing with PyTorchlow

Author:   Delip Rao
Publisher:   O'Reilly Media, Inc, USA
ISBN:  

9781491978238


Pages:   256
Publication Date:   05 February 2019
Format:   Paperback
Availability:   In Print   Availability explained
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Natural Language Processing with PyTorchlow


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Overview

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

Full Product Details

Author:   Delip Rao
Publisher:   O'Reilly Media, Inc, USA
Imprint:   O'Reilly Media, Inc, USA
Dimensions:   Width: 18.00cm , Height: 1.30cm , Length: 23.80cm
Weight:   0.506kg
ISBN:  

9781491978238


ISBN 10:   1491978236
Pages:   256
Publication Date:   05 February 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Delip Rao is a machine learning and natural language processing researcher focused on building AI solutions for consumers and businesses. He has worked on NLP and ML research problems involving semi-supervised learning, graph-based ranking, sequence learning, distributed machine learning, and more, and has published several highly cited papers in these areas. Brian McMahan is a research engineer at Joostware, a San Francisco-based company specializing in consulting and building intellectual property in natural language processing and deep learning. He has a PhD in Computer Science from Rutgers University where he built Bayesian and Deep Learning models of language and semantics as they apply to machine perception in interactive situations.

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