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You're reading from  Transformers for Natural Language Processing - Second Edition

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Published inMar 2022
PublisherPackt
ISBN-139781803247335
Edition2nd Edition
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Denis Rothman
Denis Rothman
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Denis Rothman

Denis Rothman graduated from Sorbonne University and Paris-Diderot University, designing one of the very first word2matrix patented embedding and patented AI conversational agents. He began his career authoring one of the first AI cognitive Natural Language Processing (NLP) chatbots applied as an automated language teacher for Moet et Chandon and other companies. He authored an AI resource optimizer for IBM and apparel producers. He then authored an Advanced Planning and Scheduling (APS) solution used worldwide.
Read more about Denis Rothman

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Computer vision

This book is about NLP, not computer vision. However, in the previous section, we implemented general purpose sequences that can be applied to many domains. Computer vision is one of them.

The title of the article by Dosovitskiy et al. (2021) says it all: An image is worth 16x16 words: Transformers for Image Recognition at Scale. The authors processed an image as sequences. The results proved their point.

Google has made vision transformers available in a Colaboratory notebook. Open Vision_Transformer_MLP_Mixer.ipynb in the Chapter16 directory of this book’s GitHub repository.

Open Vision_Transformer_MLP_Mixer.ipynb contains a transformer computer vision model in JAX(). JAX combines Autograd and XLA. JAX can differentiate Python and NumPy functions. JAX speeds up Python and NumPy by using compilation techniques and parallelization.

The notebook is self-explanatory. You can explore it to see how it works. However, bear in mind that when Industry...

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Transformers for Natural Language Processing - Second Edition
Published in: Mar 2022Publisher: PacktISBN-13: 9781803247335
© 2022 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Denis Rothman

Denis Rothman graduated from Sorbonne University and Paris-Diderot University, designing one of the very first word2matrix patented embedding and patented AI conversational agents. He began his career authoring one of the first AI cognitive Natural Language Processing (NLP) chatbots applied as an automated language teacher for Moet et Chandon and other companies. He authored an AI resource optimizer for IBM and apparel producers. He then authored an Advanced Planning and Scheduling (APS) solution used worldwide.
Read more about Denis Rothman

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