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88850221
Deep Learning: Foundations and Concepts
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Item #:
88850221
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This essential book equips readers with a robust foundation for potential future specialization in deep learning.
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What Stands Out
Comprehensive Coverage
This hardcover edition provides an extensive understanding of deep learning, covering foundational principles and advanced concepts, making it suitable for both beginners and seasoned practitioners.
Expert Insights
Authored by leading experts in the field, this book offers valuable insights and real-world applications, helping readers grasp complex topics and stay current with the latest developments in deep learning.
Practical Examples
Includes practical examples and case studies that illustrate theoretical concepts, allowing readers to apply knowledge effectively, enhancing learning and implementation in real-world scenarios.
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| Country of Origin | This item will be imported from EU |
| What is in the box | Deep Learning: Foundations and... For more details, please check description/product details |
Who Should Buy?
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Students and Researchers
Ideal for students and researchers seeking a comprehensive understanding of deep learning principles and methodologies.
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Industry Professionals
Beneficial for professionals in tech fields looking to enhance their skills and knowledge in deep learning applications.
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Educators
Great for educators teaching deep learning, providing a strong foundation and detailed concepts for course material.
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Beginners
Not suitable for complete beginners lacking prior knowledge, as it may be too complex without foundational understanding.
Product Description
Deep Learning: Foundations and Concepts
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English edition Christopher M. Bishop Editorial Review
Deep Learning: Foundations And Concepts is a high-quality textbook that effectively teaches the fundamentals of deep learning, including probability theory and recent advancements like Transformers and autoencoders. The book is well-structured and utilizes color effectively to highlight key points, making complex information more digestible. Readers should note that a background in calculus and linear algebra is essential for fully grasping the concepts presented. The book's emphasis on critical elements over excessive detail and the provision of exercise solutions online enhance its utility for self-study. Overall, this textbook is a fantastic reference for anyone serious about exploring deep learning.
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Pros
- Well-structured and clearly presented content
- Covers recent advancements in deep learning
- Utilizes color effectively for key points
- Includes online solutions for exercises
- Requires essential math background for understanding
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Features & Benefits
- Over 300,000 available academic books from a leading publisher.
- Comprehensive introduction to deep learning for both newcomers and experienced individuals.
- Focus on sustainable practices with print-on-demand publishing.
- Well-organized bite-sized chapters for easy understanding and teaching.
- Includes crucial mathematical foundations and practical techniques.
- Written by experts in the field for clear and effective learning.
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