July 2020
Beginner to intermediate
276 pages
6h 5m
English
Overview
Dive into the world of Natural Language Processing (NLP) with this hands-on guide. Using PyTorch, you'll learn to tackle key NLP tasks, from text classification to chatbot creation, leveraging state-of-the-art deep learning models and neural network architectures. Whether you're a beginner or have some experience, this book bridges the gap between theory and practical implementation.
What this Book will help me do
- Understand and apply NLP techniques to analyze and categorize textual data effectively.
- Master PyTorch to build and deploy high-performing deep learning NLP models.
- Explore advanced deep learning architectures such as RNNs, LSTMs, and CNNs.
- Learn how to preprocess, tokenize, and embed textual data for analysis.
- Acquire the skills to develop applications like sentiment analysis tools and chatbots.
Author(s)
None Dop brings a wealth of experience in AI and machine learning to the topic of NLP. With a strong background in developing real-world AI applications, the author draws upon their expertise to present practical, engaging examples in this book. Always oriented towards actionable insights, None Dop ensures readers gain both knowledge and practical skills.
Who is it for?
This book is written for developers and data scientists who are interested in implementing NLP solutions. If you're a professional with some experience in Python and a basic understanding of NLP, this book will guide you through modern practices and tools in the field. Beginners in neural network-based NLP will also find it an accessible and hands-on introduction.
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