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GETTING STARTED WITH DEEP LEARNING FOR NATURAL LANGUAGE PROCESSING : learn how to build nlp... applications with deep learning by Sunil Patel is a nonfiction available to read on EtoBox.

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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. • Learn how to build a complex NLP application. • Get familiar with the advanced embedding technique, Generative network, and Audio signal processing techniques. DESCRIPTION Natural 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). This book not only covers the classical concept of text processing but also shares the recent advancements. This book will empower users in designing networks with the least computational and time complexity. This book not only covers basics of Natural Language Processing but also helps in deciphering the logic behind advanced concepts/architecture such as Batch Normalization, Position Embedding,

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Author

Sunil Patel

Publisher

BPB Publications

Published

2021

Language

EN

ISBN

9789389898118

Category

nonfiction

Subjects

Computer Science, Artificial Intelligence (Ai), Stem