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Understanding Deep Learning
An authoritative, accessible, and up-to-date treatment of deep learning that strikes a pragmatic middle ground between theory and practice.
Understanding Deep Learning
物品 #: 170400393

Understanding Deep Learning

物品 #: 170400393

HKD 577

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An authoritative, accessible, and up-to-date treatment of deep learning that strikes a pragmatic middle ground between theory and practice.
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What Stands Out

Comprehensive Coverage
Covers fundamental and advanced concepts in deep learning, providing a thorough understanding tailored for both beginners and experienced practitioners.
Practical Examples
Includes numerous real-world applications and case studies, making theoretical concepts relatable and easier to grasp for readers in various fields.
Accessible Format
Available in Kindle edition for convenient access on multiple devices, allowing learners to study deep learning anytime and anywhere.

產品詳情

Shop Understanding Deep Learning online at a best price in 香港. B0BXKH8XY6
Publisher The MIT Press
Publication date December 5, 2023
Language English
File size 42.8 MB
Enhanced typesetting Enabled
X-Ray Not Enabled
Word Wise Not Enabled
Print length 986 pages
ISBN-13 978-0262377102
Page Flip Enabled
Item Weight1.5 lbs (680 grams)

Who Should Buy?

Suitable For
  • Aspiring Data Scientists

    Perfect for individuals seeking foundational knowledge in deep learning and its practical applications in data science.

  • AI Researchers

    Offers advanced insights and methodologies valuable for researchers looking to deepen their understanding of deep learning techniques.

  • Students in Technology

    Ideal for students pursuing courses in AI, machine learning, or computer science, providing comprehensive learning materials.

Not Suitable For
  • Complete Beginners

    May not cater well to those without any background in programming or machine learning concepts.

產品敘述

Understanding Deep Learning

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AI & Semantics Editorial Review

Understanding Deep Learning is an essential resource published by The MIT Press, featuring a comprehensive 544 pages of deep learning concepts. The book balances theoretical foundations with practical applications, making it suitable for both beginners and experienced practitioners. Readers appreciate the clear exposition, well-structured chapters, and helpful diagrams that facilitate understanding of advanced topics like transformers and GANs. Many users highlight how the book's exercises effectively solidify learning, making it an invaluable tool for anyone serious about mastering deep learning.

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優點

  • Clear exposition of complex deep learning concepts
  • Excellent balance between theory and practice
  • Includes exercises for better comprehension
  • Well-structured chapters with great diagrams
  • Approachable for both beginners and experienced readers

缺點

  • Some advanced topics may not be as strong

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