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Hands-On Natural Language Processing with PyTorch 1.x
book

Hands-On Natural Language Processing with PyTorch 1.x

by Thomas Dop
July 2020
Beginner to intermediate content levelBeginner to intermediate
276 pages
6h 5m
English
Packt Publishing
Content preview from Hands-On Natural Language Processing with PyTorch 1.x

Preface

In the internet age, where an increasing volume of text data is being generated daily from social media and other platforms, being able to make sense of that data is a crucial skill. This book will help you build deep learning models for Natural Language Processing (NLP) tasks that will help you extract valuable insights from text.

We will start by understanding how to install PyTorch and using CUDA to accelerate the processing speed. You'll then explore how the NLP architecture works through practical examples. Later chapters will guide you through important principles, such as word embeddings, CBOW, and tokenization in PyTorch. You'll then learn some techniques for processing textual data and how deep learning can be used for NLP tasks. ...

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Publisher Resources

ISBN: 9781789802740Supplemental Content