Yldrm, Sava
Mastering Transformers: - Build state - of - the - art - models from scratch with - advanced natural language - processing techniques
- ISBN 13:
- 9781801077651
- author:
- Yldrm, Sava
- format:
- Paperback
- publisher:
- Packt Publishing
- language:
- English
- Publication Year:
- 2021
- Pages:
- 374
- Dimensions:
- 23.5 x 19.1 x 2 centimetres (0.6
- Genre:
- Computers, Computer Science, Natural Language Processing,
- Condition:
- New
- supplier_id:
- 35
- Availability:
- Item usually sent within 7 working days
Description
Build state-of-the-art transformer models from scratch with advanced natural language processing techniques using this comprehensive guide. Learn to implement methodologies that will shape the future of NLP. You'll explore quick prototyping with up-to-date Python libraries, solve advanced NLP problems such as named-entity recognition and conversational AI, and monitor your model's performance with tools like BertViz and TensorBoard. This book provides a step-by-step introduction to transformers, from writing your first hello-world program to training and fine-tuning models for various natural language understanding and generation tasks. By the end of this book, you'll be able to deploy your transformer models in a production environment, working with multilingual and cross-lingual problems, optimizing models by monitoring their performance, and discovering how to deconstruct these models for interpretability and explainability.
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