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Numéro d'article:
41652610
Mastering Transformers: Build state-of-the-art models from scratch with advanced natural language processing techniques, Paperback
Numéro d'article:
41652610
CAD 109
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Build state-of-the-art models from scratch with advanced natural language processing techniques
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Ce qui se démarque
Comprehensive Guide
Offers in-depth insights into building transformer models, catering to both beginners and advanced practitioners in natural language processing, ensuring a thorough understanding of complex concepts.
Hands-On Approach
Includes practical examples and exercises, empowering readers to apply techniques directly. This fosters real-world application and enhances learning for effective model development.
Cutting-Edge Techniques
Covers the latest advancements in NLP and transformers, equipping readers with current knowledge and skills to develop state-of-the-art models that stand out in the competitive landscape.
Détails du produit
- Learn to build transformer-based NLP applications using Python Transformers library
- Discover quick prototyping with up-to-date Python libraries to solve industrial problems
- Explore advanced NLP problems such as named-entity recognition, information extraction, and language generation
- Understand how to monitor your model's performance with BertViz, exBERT, and TensorBoard
- Learn to train and fine-tune models for various NLU and NLG problems, including text classification and token classification
- Suitable for deep learning researchers, NLP practitioners, and ML/NLP students with beginner-level machine learning knowledge
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Pub date | 2021-09-15 |
| Pages | 374 |
| Subgenre | Artificial Intelligence |
| Series title | No Series |
| Edition | 1 |
| Publisher | Packt Publishing |
| Original languages | English |
| Language | English |
| Edu focus | Languages |
| Is collectible | N |
| Retail packaging | Single Piece |
| Assembled product height | 9.25 in (23.5 cm) |
| Assembled product weight | 1.41 lb (640 grams) |
| Bisac subject heading | Computers |
À qui est-ce destiné ?
-
Data Scientists
Perfect for data scientists looking to deepen their knowledge and skills in natural language processing using transformers.
-
AI Researchers
Ideal for researchers aiming to build advanced models and contribute to the field of artificial intelligence.
-
Graduate Students
Beneficial for graduate students specializing in machine learning or natural language processing to enhance their practical skills.
-
Beginners
Not suitable for beginners lacking a foundational understanding of machine learning or programming.
DESCRIPTION DU PRODUIT
Mastering Transformers: Build state-of-the-art models from scratch with advanced natural language processing techniques, Paperback
About This Item
Are you ready to take your natural language processing skills to the next level? Look no further than Mastering Transformers, a comprehensive guide that will teach you how to build state-of-the-art models from scratch using advanced techniques. With the rise of artificial intelligence and machine learning, mastering Transformers has become essential for anyone working in the field of natural language processing. This book will not only introduce you to Transformers, but also give you the tools and knowledge you need to create advanced NLP models that are at the forefront of the industry. Whether you are a data scientist, a software engineer, or a researcher, this book is a must-have resource. It covers everything from the basics of Transformers to the most advanced NLP algorithms and machine learning models used today.
You will learn how to preprocess text data, train your own Transformer models, and fine-tune them for specific tasks. What sets this book apart is its hands-on approach. You will find step-by-step examples, code snippets, and practical exercises that will guide you through the process of building your own Transformers. By the end of the book, you will have a solid understanding of how Transformers work and the skills to apply them to your own NLP projects. Whether you are interested in sentiment analysis, language translation, or speech recognition, Mastering Transformers has got you covered.
This book is packed with real-world examples and case studies that demonstrate the power and versatility of Transformers in solving complex NLP problems. Don't miss out on the opportunity to become a master of Transformers. Order your copy of Mastering Transformers today and unlock the potential of advanced natural language processing techniques!.
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Questions et réponses des clients
-
question:
Who is this book for?
répondre: Deep learning researchers, hands-on NLP practitioners, ML/NLP educators, and students -
question:
What knowledge is required to benefit from this book?
répondre: Beginner-level machine learning and a good command of Python -
question:
What are some key features of this book?
répondre: Exploring quick prototyping with Python libraries, solving advanced NLP problems, monitoring model performance, and deploying models
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Caractéristiques et avantages
- Learn to build transformer-based NLP applications
- Implement methodologies that will build the future of NLP
- Solve advanced NLP problems like information extraction and language generation
- Train and fine-tune models for various NLU and NLG problems
- Optimize models for performance and interpretability
- Deploy transformer models in a production environment
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