Deep Learning A Beginners' Guide
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Form:Einzelkauf Download
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Sprache:Englisch
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eBook Format:ePUB 3
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Fr. 76.90
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Produktdetails
Format
ePUB 3
Kopierschutz
Ja
Family Sharing
Nein
Text-to-Speech
Ja
Erscheinungsdatum
16.10.2023
Verlag
Taylor & Francis eBooksSeitenzahl
198 (Printausgabe)
Auflage
1. Auflage
Sprache
Englisch
EAN
9781000924060
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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