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Transformers for Machine Learning

- A Deep Dive
Af: Uday Kamath, Kenneth Graham, Wael Emara Engelsk Paperback

Transformers for Machine Learning

- A Deep Dive
Af: Uday Kamath, Kenneth Graham, Wael Emara Engelsk Paperback
Tjek vores konkurrenters priser

Transformers are becoming a core part of many neural network architectures, employed in a wide range of applications such as NLP, Speech Recognition, Time Series, and Computer Vision. Transformers have gone through many adaptations and alterations, resulting in newer techniques and methods. Transformers for Machine Learning: A Deep Dive is the first comprehensive book on transformers.

Key Features:

  • A comprehensive reference book for detailed explanations for every algorithm and techniques related to the transformers.
  • 60+ transformer architectures covered in a comprehensive manner.
  • A book for understanding how to apply the transformer techniques in speech, text, time series, and computer vision.
  • Practical tips and tricks for each architecture and how to use it in the real world.
  • Hands-on case studies and code snippets for theory and practical real-world analysis using the tools and libraries, all ready to run in Google Colab.

The theoretical explanations of the state-of-the-art transformer architectures will appeal to postgraduate students and researchers (academic and industry) as it will provide a single entry point with deep discussions of a quickly moving field. The practical hands-on case studies and code will appeal to undergraduate students, practitioners, and professionals as it allows for quick experimentation and lowers the barrier to entry into the field.

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Tjek vores konkurrenters priser
Normalpris
kr 478
Fragt: 39 kr
6 - 8 hverdage
20 kr
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God 4 anmeldelser på
Tjek vores konkurrenters priser

Transformers are becoming a core part of many neural network architectures, employed in a wide range of applications such as NLP, Speech Recognition, Time Series, and Computer Vision. Transformers have gone through many adaptations and alterations, resulting in newer techniques and methods. Transformers for Machine Learning: A Deep Dive is the first comprehensive book on transformers.

Key Features:

  • A comprehensive reference book for detailed explanations for every algorithm and techniques related to the transformers.
  • 60+ transformer architectures covered in a comprehensive manner.
  • A book for understanding how to apply the transformer techniques in speech, text, time series, and computer vision.
  • Practical tips and tricks for each architecture and how to use it in the real world.
  • Hands-on case studies and code snippets for theory and practical real-world analysis using the tools and libraries, all ready to run in Google Colab.

The theoretical explanations of the state-of-the-art transformer architectures will appeal to postgraduate students and researchers (academic and industry) as it will provide a single entry point with deep discussions of a quickly moving field. The practical hands-on case studies and code will appeal to undergraduate students, practitioners, and professionals as it allows for quick experimentation and lowers the barrier to entry into the field.

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Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 257
ISBN-13: 9780367767341
Indbinding: Paperback
Udgave:
ISBN-10: 0367767341
Kategori: Automatisk styrings- & reguleringsteknik
Udg. Dato: 25 maj 2022
Længde: 22mm
Bredde: 234mm
Højde: 156mm
Forlag: Taylor & Francis Ltd
Oplagsdato: 25 maj 2022
Forfatter(e): Uday Kamath, Kenneth Graham, Wael Emara
Forfatter(e) Uday Kamath, Kenneth Graham, Wael Emara

Kategori Automatisk styrings- & reguleringsteknik

ISBN-13 9780367767341

Sprog Engelsk

Indbinding Paperback

Sider 257

Udgave

Længde 22mm

Bredde 234mm

Højde 156mm

Udg. Dato 25 maj 2022

Oplagsdato 25 maj 2022

Forlag Taylor & Francis Ltd

Kategori sammenhænge