Hands-On Natural Language Processing with PyTorch 1.x
Developers working with NLP will be able to put their knowledge to work with this practical guide to PyTorch. You will learn to use PyTorch offerings and how to understand and analyze text using Python. You will learn to extract the underlying meaning in the text using deep neural networks and modern deep learning algorithms.
Offered by
Difficulty Level
Intermediate
Completion Time
9h12m
Language
English
About Book
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.
Hands-On Natural Language Processing with PyTorch 1.x
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 9h12m total length
Fundamentals of Machine Learning and Deep Learning
Getting Started with PyTorch 1.x for NLP
NLP and Text Embeddings
Text Preprocessing, Stemming, and Lemmatization
Recurrent Neural Networks and Sentiment Analysis
Convolutional Neural Networks for Text Classification
Text Translation using Sequence to Sequence Neural Networks
Building a Chatbot Using Attention-based Neural Networks
The Road Ahead
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