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

Mostrar otras versiones (1)

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...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Rothman, Denis
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham : Packt Publishing, Limited, 2021.
Temas:
Artificial intelligence > Data processing.
Artificial intelligence > Software.
Python (Computer program language)
Cloud computing.
Intelligence artificielle > Informatique.
Python (Langage de programmation)
Infonuagique.
Artificial intelligence.
Natural language & machine translation.
Neural networks & fuzzy systems.
Computers > Intelligence (AI) & Semantics.
Computers > Natural Language Processing.
Computers > Neural Networks.
Artificial intelligence
Artificial intelligence > Data processing
Cloud computing
Software
Acceso en línea:Texto completo
Texto completo
Descripción
Sumario: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.
Notas:Description based upon print version of record.
Descripción Física:1 online resource (385 p.)
ISBN:1800568630
9781800568631

Ejemplares similares