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Hands-On Natural Language Processing with PyTorch 1.x

You're reading from  Hands-On Natural Language Processing with PyTorch 1.x

Product type Book
Published in Jul 2020
Publisher Packt
ISBN-13 9781789802740
Pages 276 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Thomas Dop Thomas Dop
Profile icon Thomas Dop
LinkedIn
Thomas Dop is a data scientist at MagicLab, a company that creates leading dating apps, including Bumble and Badoo. He works on a variety of areas within data science, including NLP, deep learning, computer vision, and predictive modeling. He holds an MSc in data science from the University of Amsterdam.
See other products by Thomas Dop

Table of Contents (14) Chapters

Preface Section 1: Essentials of PyTorch 1.x for NLP
Chapter 1: Fundamentals of Machine Learning and Deep Learning Chapter 2: Getting Started with PyTorch 1.x for NLP Section 2: Fundamentals of Natural Language Processing
Chapter 3: NLP and Text Embeddings Chapter 4: Text Preprocessing, Stemming, and Lemmatization Section 3: Real-World NLP Applications Using PyTorch 1.x
Chapter 5: Recurrent Neural Networks and Sentiment Analysis Chapter 6: Convolutional Neural Networks for Text Classification Chapter 7: Text Translation Using Sequence-to-Sequence Neural Networks Chapter 8: Building a Chatbot Using Attention-Based Neural Networks Chapter 9: The Road Ahead Other Books You May Enjoy

Technical requirements

For this chapter, Python needs to be installed. It is recommended to use the latest version of Python (3.6 or higher). It is also recommended to use the Anaconda package manager to install PyTorch. A CUDA-compatible GPU is required to run tensor operations on a GPU. All the code for this chapter can be found at https://github.com/PacktPublishing/Hands-On-Natural-Language-Processing-with-PyTorch-1.x.

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Authors (1)

Profile icon Thomas Dop
LinkedIn
Thomas Dop is a data scientist at MagicLab, a company that creates leading dating apps, including Bumble and Badoo. He works on a variety of areas within data science, including NLP, deep learning, computer vision, and predictive modeling. He holds an MSc in data science from the University of Amsterdam.
See other products by Thomas Dop

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