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Deep Learning

- A Beginners' Guide
Af: Dulani Meedeniya Engelsk Hardback

Deep Learning

- A Beginners' Guide
Af: Dulani Meedeniya Engelsk Hardback
Tjek vores konkurrenters priser

This book focuses on deep learning (DL), which is an important aspect of data science, that includes predictive modeling. DL applications are widely used in domains such as finance, transport, healthcare, automanufacturing, and advertising. The design of the DL models based on artificial neural networks is influenced by the structure and operation of the brain. This book presents a comprehensive resource for those who seek a solid grasp of the techniques in DL.

Key features:

  • Provides knowledge on theory and design of state-of-the-art deep learning models for real-world applications
  • Explains the concepts and terminology in problem-solving with deep learning
  • Explores the theoretical basis for major algorithms and approaches in deep learning
  • Discusses the enhancement techniques of deep learning models
  • Identifies the performance evaluation techniques for deep learning models

Accordingly, the book covers the entire process flow of deep learning by providing awareness of each of the widely used models. This book can be used as a beginners’ guide where the user can understand the associated concepts and techniques. This book will be a useful resource for undergraduate and postgraduate students, engineers, and researchers, who are starting to learn the subject of deep learning.

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Tjek vores konkurrenters priser
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Fragt: 39 kr
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20 kr
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Tjek vores konkurrenters priser

This book focuses on deep learning (DL), which is an important aspect of data science, that includes predictive modeling. DL applications are widely used in domains such as finance, transport, healthcare, automanufacturing, and advertising. The design of the DL models based on artificial neural networks is influenced by the structure and operation of the brain. This book presents a comprehensive resource for those who seek a solid grasp of the techniques in DL.

Key features:

  • Provides knowledge on theory and design of state-of-the-art deep learning models for real-world applications
  • Explains the concepts and terminology in problem-solving with deep learning
  • Explores the theoretical basis for major algorithms and approaches in deep learning
  • Discusses the enhancement techniques of deep learning models
  • Identifies the performance evaluation techniques for deep learning models

Accordingly, the book covers the entire process flow of deep learning by providing awareness of each of the widely used models. This book can be used as a beginners’ guide where the user can understand the associated concepts and techniques. This book will be a useful resource for undergraduate and postgraduate students, engineers, and researchers, who are starting to learn the subject of deep learning.

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Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 184
ISBN-13: 9781032473246
Indbinding: Hardback
Udgave:
ISBN-10: 103247324X
Kategori: Automatisk styrings- & reguleringsteknik
Udg. Dato: 16 okt 2023
Længde: 19mm
Bredde: 243mm
Højde: 160mm
Forlag: Taylor & Francis Ltd
Oplagsdato: 16 okt 2023
Forfatter(e): Dulani Meedeniya
Forfatter(e) Dulani Meedeniya

Kategori Automatisk styrings- & reguleringsteknik

ISBN-13 9781032473246

Sprog Engelsk

Indbinding Hardback

Sider 184

Udgave

Længde 19mm

Bredde 243mm

Højde 160mm

Udg. Dato 16 okt 2023

Oplagsdato 16 okt 2023

Forlag Taylor & Francis Ltd

Kategori sammenhænge