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Transformers for Natural Language Processing: Build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and more Denis Rothman
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Transformers for Natural Language Processing: Build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and more
Denis Rothman
Being the first book in the market to dive deep into the Transformers, it is a step-by-step guide for data and AI practitioners to help enhance the performance of language understanding and gain expertise with hands-on implementation of transformers using PyTorch, TensorFlow, Hugging Face, Trax, and AllenNLP.
384 pages
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | January 28, 2021 |
| ISBN13 | 9781800565791 |
| Publishers | Packt Publishing Limited |
| Pages | 384 |
| Dimensions | 190 × 234 × 25 mm · 657 g |
| Language | English |
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