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Transformers for Natural Language Processing Build innovative deep neural network architectures for NLP [#505569]
Transformers for Natural Language Processing: Build innovative deep neural network architectures for NLP with Python, PyTorch. BERT, RoBERTa, T5, GPT-2, architecture of GPT-3, and much more
by Denis Rothman
English | 2021 | ISBN: 1800565798 | 355 Pages | True PDF EPUB | 9 MB
The Transformer architecture has proved to be revolutionary in outperforming the classical RNN and CNN models in use today. With an apply-as-you-learn approach, Transformers for Natural Language Processing investigates in vast detail the deep learning for machine translations, speech-to-text, text-to-speech, language modeling, question answering, and many more NLP domains in context with the Transformers.
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