Applied Natural Language Processing with PyTorch 2.0

Download or read book Applied Natural Language Processing with PyTorch 2.0 written by Dr. Deepti Chopra and published by Orange Education Pvt Ltd. This book was released on 2025-01-27 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: TAGLINE Unlock the Power of PyTorch 2.0 for Next-Level Natural Language Processing. KEY FEATURES ● Comprehensive coverage of NLP concepts, techniques, and best practices. ● Hands-on examples with code implementations using PyTorch 2.0. ● Focus on real-world applications and optimizing NLP models. ● Learn to develop advanced NLP solutions with dynamic GPU acceleration. DESCRIPTION Natural Language Processing (NLP) is revolutionizing industries, from chatbots to data insights. PyTorch 2.0 offers the tools to build powerful NLP models. Applied Natural Language Processing with PyTorch 2.0 provides a practical guide to mastering NLP with this advanced framework. This book starts with a strong foundation in NLP concepts and the essentials of PyTorch 2.0, ensuring that you are well-equipped to tackle advanced topics. It covers key techniques such as transformer models, pre-trained language models, sequence-to-sequence models, and more. Each chapter includes hands-on examples and code implementations for real-world application. With a focus on practical use cases, the book explores NLP tasks like sentiment analysis, text classification, named entity recognition, machine translation, and text generation. You'll learn how to preprocess text, design neural architectures, train models, and evaluate results. Whether you're a beginner or an experienced professional, this book will empower you to develop advanced NLP models and solutions. Get started today and unlock the potential of NLP with PyTorch 2.0! WHAT WILL YOU LEARN ● Master cutting-edge NLP techniques and integrate PyTorch 2.0 effectively. ● Implement NLP concepts with clear, hands-on examples using PyTorch 2.0. ● Tackle a wide range of NLP tasks, suitable for all experience levels. ● Explore tasks like sentiment analysis, text classification, and translation. ● Leverage advanced deep learning techniques for powerful NLP solutions. ● Preprocess text, design models, train, and evaluate their performance. WHO IS THIS BOOK FOR? This book is ideal for data scientists, machine learning engineers, and NLP practitioners, whether you're a beginner or an experienced professional. A basic understanding of Python and machine learning concepts is recommended, as the book focuses on practical applications, advanced techniques, and integrating PyTorch 2.0 for deep learning-powered NLP solutions. TABLE OF CONTENTS 1. Introduction to Natural Language Processing 2. Getting Started with PyTorch 3. Text Preprocessing 4. Building NLP Models with PyTorch 5. Advanced NLP Techniques with PyTorch 6. Model Training and Evaluation 7. Improving NLP Models with PyTorch 8. Deployment and Productionization 9. Case Studies and Practical Examples 10. Future Trends in Natural Language Processing and PyTorch Index