Natural_Language_Processing_with_Transformers
Natural_Language_Processing_with_Transformers
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Natural Language Processing with Transformers

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size

17.78 x 2.54 x 23.5 cm

Product Information

Genre

Computer Science


Author Name

Lewis Tunstall


About Author

Lewis Tunstall is a data scientist at Swisscom, focused on building machine learning powered applications in the domains of natural language processing and time series. A former theoretical physicist, he has over 10 years experience translating complex subject matter to lay audiences and has taught machine learning to university students at both the graduate and undergraduate levels.


Material

Hardcover


Ideal for

Unisex


Code

978-1098136796 (ISBN CODE)


No

{" of Pages":"406 pages"}


Country Of Origin

India

Product Description

Since their introduction in 2017, transformers have quickly become the dominant architecture for achieving state-of-the-art results on a variety of natural language processing tasks. If you're a data scientist or coder, this practical book -now revised in full color- shows you how to train and scale these large models using Hugging Face Transformers, a Python-based deep learning library.