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Deep Learning for Natural Language Processing
Af: Stephan Raaijmakers
Engelsk
Bogcover for Deep Learning for Natural Language Processing af Stephan Raaijmakers, 9781617295447
Specifikationer
Sprog:
Engelsk
Sider:
404
ISBN-13:
9781617295447
Indbinding:
Paperback
ISBN-10:
1617295442
Kategori:
Udg. Dato:
22 nov 2022
Størrelse i cm:
18,8 x 23,6 x 2,5
Forlag:
Oplagsdato:
22 nov 2022
Forfatter(e):
Genre:

Deep Learning for Natural Language Processing

Af: Stephan Raaijmakers
Engelsk
Paperback 2022
Format:
Paperback
Bog beskrivelse

Humans do a great job of reading text, identifying key ideas, summarizing, making connections, and other tasks that require comprehension and context. Recent advances in deep learning make it possible for computer systems to achieve similar results.

 

Deep Learning for Natural Language Processing teaches you to apply deep learning methods to natural language processing (NLP) to interpret and use text effectively. In this insightful book, (NLP) expert Stephan Raaijmakers distills his extensive knowledge of the latest state-of-the-art developments in this rapidly emerging field.  


Key features

An overview of NLP and deep learning

• Models for textual similarity

• Deep memory-based NLP 

• Semantic role labeling 

• Sequential NLP


Audience

For those with intermediate Python skills and general knowledge of NLP. No hands-on experience with Keras or deep learning toolkits is required.


About the technology

Natural language processing is the science of teaching computers to interpret and process human language. Recently, NLP technology has leapfrogged to exciting new levels with the application of deep learning, a form of neural network-based machine learning


Stephan Raaijmakers is a senior scientist at TNO and holds a PhD in machine learning and text analytics. He’s the technical coordinator of two large European Union-funded research security-related projects. He’s currently anticipating an endowed professorship in deep learning and NLP at a major Dutch university.


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Specifikationer
Sprog:
Engelsk
Sider:
404
ISBN-13:
9781617295447
Indbinding:
Paperback
ISBN-10:
1617295442
Kategori:
Udg. Dato:
22 nov 2022
Størrelse i cm:
18,8 x 23,6 x 2,5
Forlag:
Oplagsdato:
22 nov 2022
Forfatter(e):
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