Getting started with deep Learning for natural language processing / Sunil Patel learn ho w to build NLP applications with deep learning

By:

Patel, Sunil

Language: English Publication details: Bpb Publications c2021 New Delhi :Edition: 1st edDescription: xxi, 382 p. : ill. 23 cmISBN:

9789389898118

Subject(s):

deep learning; computer programming language

DDC classification:

006.31 PAT

Summary: Learn how to redesign NLP applications from scratch. Key Features Get familiar with the basics of any Machine Learning or Deep Learning application. Understand how does preprocessing work in NLP pipeline. Use simple PyTorch snippets to create basic building blocks of the network commonly used in NLP. Get familiar with the advanced embedding technique, Generative network, and Audio signal processing techniques. DescriptionNatural language processing (NLP) is one of the areas where many Machine Learning and Deep Learning techniques are applied. This book covers wide areas, including the fundamentals of Machine Learning, Understanding and optimizing Hyperparameters, Convolution Neural Networks (CNN), and Recurrent Neural Networks (RNN).

Item type: English Books

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Holdings
Current library	Call number	Copy number	Status	Date due	Barcode
Anna Centenary Library 3RD FLOOR, A WING	006.31 PAT (Browse shelf(Opens below))		Available		675218
Anna Centenary Library 3RD FLOOR, A WING	006.31 PAT;1 (Browse shelf(Opens below))	1	Available		675219

Reprint, 2023

Includes index

Learn how to redesign NLP applications from scratch. Key Features Get familiar with the basics of any Machine Learning or Deep Learning application. Understand how does preprocessing work in NLP pipeline. Use simple PyTorch snippets to create basic building blocks of the network commonly used in NLP. Get familiar with the advanced embedding technique, Generative network, and Audio signal processing techniques. DescriptionNatural language processing (NLP) is one of the areas where many Machine Learning and Deep Learning techniques are applied. This book covers wide areas, including the fundamentals of Machine Learning, Understanding and optimizing Hyperparameters, Convolution Neural Networks (CNN), and Recurrent Neural Networks (RNN).

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Getting started with deep Learning for natural language processing / Sunil Patel learn ho w to build NLP applications with deep learning

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