Transformers for Natural Language Processing by Denis Rothman (.ePUB)
File Size: 5.44 MB
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
Requirements: .ePUB reader, 5.44 MB
Overview: 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.
Genre: Non-Fiction > Tech & Devices
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