Transformers for Natural Language Processing: Build Innovative Deep Neural Network Architectures for NLP with Python, Pytorch, TensorFlow, BERT, RoBERTa, and More

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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Beteilige Person: Rothman, Denis (VerfasserIn)
Format: Elektronisch E-Book
Sprache:Englisch
Veröffentlicht: Birmingham Packt Publishing, Limited 2021
Schlagwörter:
Links:https://learning.oreilly.com/library/view/-/9781800565791/?ar
Zusammenfassung: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.
Beschreibung:Description based upon print version of record
Umfang:1 Online-Ressource (385 Seiten)
ISBN:1800568630
9781800568631
9781800565791