ROTHMAN DENIS und GULLI ANTONIO, 2022. Transformers for natural language processing: build, train, and fine-tune deep neural network architectures for NLP with Python, Py Torch, Tensor Flow, BERT, and GPT-3/ Denis Rothman ; foreword by Antonio Gulli. ISBN 978-1-80324-348-1&1-80324-348-1.
Elsevier - Harvard (with titles)Rothman Denis, Gulli Antonio, 2022. Transformers for natural language processing: build, train, and fine-tune deep neural network architectures for NLP with Python, Py Torch, Tensor Flow, BERT, and GPT-3/ Denis Rothman ; foreword by Antonio Gulli.
American Psychological Association 7th editionRothman Denis, & Gulli Antonio. (2022). Transformers for natural language processing: build, train, and fine-tune deep neural network architectures for NLP with Python, Py Torch, Tensor Flow, BERT, and GPT-3/ Denis Rothman ; foreword by Antonio Gulli.
Springer - Basic (author-date)Rothman Denis, Gulli Antonio (2022) Transformers for natural language processing: build, train, and fine-tune deep neural network architectures for NLP with Python, Py Torch, Tensor Flow, BERT, and GPT-3/ Denis Rothman ; foreword by Antonio Gulli
Juristische Zitierweise (Stüber) (Deutsch)Rothman Denis/ Gulli Antonio, Transformers for natural language processing: build, train, and fine-tune deep neural network architectures for NLP with Python, Py Torch, Tensor Flow, BERT, and GPT-3/ Denis Rothman ; foreword by Antonio Gulli., 2022.