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...

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Bibliographic Details
Main Author: Rothman, Denis (Author)
Format: Electronic eBook
Language:English
Published: Birmingham ; Mumbai Packt 2021
Series:Expert insight
Subjects:
Online Access:DE-92
DE-355
DE-706
DE-29
Summary: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.
Physical Description:1 Online-Ressource (xvi, 360 Seiten) Illustrationen, Diagramme
ISBN:9781800568631

There is no print copy available.

Interlibrary loan Place Request Caution: Not in THWS collection!