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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
Format: eBook
Language:English
Published: Birmingham Packt Publishing, Limited 2021
Subjects:
Computers / Neural Networks / Bisacsh
Artificial Intelligence / Bicssc
Artificial Intelligence / Data Processing / Http://id.loc.gov/authorities/subjects/sh85008182
Neural Networks & Fuzzy Systems / Bicssc
Cloud Computing / Fast
Python (computer Program Language) / Fast
Infonuagique
Python (computer Program Language) / Http://id.loc.gov/authorities/subjects/sh96008834
Artificial Intelligence / Fast
Computers / Natural Language Processing / Bisacsh
Cloud Computing / Http://id.loc.gov/authorities/subjects/sh2008004883
Artificial Intelligence / Data Processing / Fast
Intelligence Artificielle / Informatique
Artificial Intelligence / Software
Computers / Intelligence (ai) & Semantics / Bisacsh
Natural Language & Machine Translation / Bicssc
Python (langage De Programmation)
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
Description
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.
Item Description:Description based upon print version of record
Physical Description:385 p.
ISBN:1800568630

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