Hands-On Natural Language Processing with PyTorch 1.x: Build smart, AI-driven linguistic applications using deep learning and NLP techniques

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Key benefits

Get to grips with word embeddings, semantics, labeling, and high-level word representations using practical examples

Learn modern approaches to NLP and explore state-of-the-art NLP models using PyTorch

Improve your NLP applications with innovative neural networks such as RNNs, LSTMs, and CNNs

Description

In the internet age, where an increasing volume of text data is generated daily from social media and other platforms, being able to make sense of that data is a crucial skill. With this book, you’ll learn how to extract valuable insights from text by building deep learning models for natural language processing (NLP) tasks. Starting by understanding how to install PyTorch and using CUDA to accelerate the processing speed, you’ll explore how the NLP architecture works with the help of practical examples. This PyTorch NLP book will guide you through core concepts such as word embeddings, CBOW, and tokenization in PyTorch. You’ll then learn techniques for processing textual data and see how deep learning can be used for NLP tasks. The book demonstrates how to implement deep learning and neural network architectures to build models that will allow you to classify and translate text and perform sentiment analysis. Finally, you’ll learn how to build advanced NLP models, such as conversational chatbots. By the end of this book, you’ll not only have understood the different NLP problems that can be solved using deep learning with PyTorch, but also be able to build models to solve them.

Who is this book for?

This PyTorch book is for NLP developers, machine learning and deep learning developers, and anyone interested in building intelligent language applications using both traditional NLP approaches and deep learning architectures. If you’re looking to adopt modern NLP techniques and models for your development projects, this book is for you. Working knowledge of Python programming, along with basic working knowledge of NLP tasks, is required.

What you will learn

Use NLP techniques for understanding, processing, and generating text

Understand PyTorch, its applications and how it can be used to build deep linguistic models

Explore the wide variety of deep learning architectures for NLP

Develop the skills you need to process and represent both structured and unstructured NLP data

Become well-versed with state-of-the-art technologies and exciting new developments in the NLP domain

Create chatbots using attention-based neural networks

What do you get with Print?

Instant access to your digital eBook copy whilst your Print order is Shipped

Paperback book shipped to your preferred address

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

Frequently bought together

Hands-On Natural Language Processing with PyTorch 1.x

$43.99

Hands-On Python Natural Language Processing

$43.99

$38.99

Total $ 126.97

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Hands-On Natural Language Processing with PyTorch 1.x: Build smart, AI-driven linguistic applications using deep learning and NLP techniques

What do you get with Print?