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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
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2021. gada 15. septembris |
| ISBN13 | 9781801077651 |
| Izdevēji | Packt Publishing Limited |
| Lapas | 374 |
| Izmēri | 299 × 252 × 24 mm · 639 g |
| Valoda | Angļu |
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