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Mastering Transformers: Build state-of-the-art models from scratch with advanced natural language processing techniques Savas Yildirim
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Mastering Transformers: Build state-of-the-art models from scratch with advanced natural language processing techniques
Savas Yildirim
Explore the accurate and fast fine-tuning capabilities of transformer-based language models and understand how they outperform traditional machine learning-based approaches when solving challenging NLU problems. Developers working with the Transformers architecture will be able to put their knowledge to work with this practical guide.
374 pages
| Medios de comunicación | Libros Paperback Book (Libro con tapa blanda y lomo encolado) |
| Publicado | 15 de septiembre de 2021 |
| ISBN13 | 9781801077651 |
| Editores | Packt Publishing Limited |
| Páginas | 374 |
| Dimensiones | 299 × 252 × 24 mm · 639 g |
| Lengua | Inglés |
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