Hands-On Mathematics for Deep Learning: Build a solid mathematical foundation for training efficient deep neural networks Paperback
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Hands-On Mathematics for Deep Learning: Build a solid mathematical foundation for training efficient deep neural networks Paperback
By the end of this book, you'll have built a strong foundation in neural networks and deep learning mathematical concepts.
Hands-On Mathematics for Deep Learning: Build a solid mathematical foundation for training efficient deep neural networks Paperback
artikal br.: 49266543

Hands-On Mathematics for Deep Learning: Build a solid mathematical foundation for training efficient deep neural networks Paperback

artikal br.: 49266543

RSD 6250

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By the end of this book, you'll have built a strong foundation in neural networks and deep learning mathematical concepts.
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What Stands Out

Foundational Skills
Provides essential mathematical concepts critical for understanding and optimizing deep learning models, allowing readers to build robust knowledge for future advancements in AI.
Practical Approach
Integrates hands-on exercises that reinforce learning through practical applications, enabling readers to implement complex mathematics directly into real-world deep learning scenarios.
Accessible Format
Written in an easy-to-understand style, making advanced mathematical topics approachable for beginners and professionals, fostering a deeper understanding of neural networks.

Детаљи о производу

Shop Hands-On Mathematics for Deep Learning: Build a solid mathematical foundation for training efficient deep neural networks Paperback online at a best price in Serbia. 863726364
LanguageEnglish
PublisherPackt Publishing
Book FormatPaperback
Original LanguagesEnglish
Number of Pages364
AuthorJay Dawani
TitleHands-On Mathematics for Deep Learning: Build a solid mathematical foundation for training efficient deep neural networks
ISBN-139781838647292
Publication DateJune, 2020
ISBN-101838647295
Book formatPaperback
Fiction/nonfictionNon-Fiction
GenreEducation
Pub date2020-06-12
Pages364
SubgenreComputers
EditionStandard Edition
Original languagesEnglish
Item Weight1 lbs (450 grams)

Who Should Buy?

Suitable For
  • Aspiring Data Scientists

    Ideal for beginners looking to understand the mathematical concepts essential for building deep learning models.

  • Students in STEM

    Perfect for university students in scientific fields who require mathematical skills in machine learning and neural networks.

  • Professionals Upskilling

    Great for professionals seeking to enhance their skills in machine learning and deepen their mathematical understanding.

Not Suitable For
  • Complete Beginners

    Not suitable for users with no prior knowledge of mathematics or deep learning concepts.

OPIS PROIZVODA

Hands-On Mathematics for Deep Learning: Build a solid mathematical foundation for training efficient deep neural networks Paperback

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Прос

  • Clear explanations of complex topics
  • Practical examples for better understanding
  • Comprehensive coverage of essential math
  • Great for beginners and experienced learners
  • Well-structured and easy to follow

Цонс

  • Some sections may be too detailed for quick reference.

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RSD 6250

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Карактеристике и предности

  • Build a solid mathematical foundation for deep neural networks.
  • Understand core concepts like linear algebra, calculus, and gradient algorithms.
  • Learn to apply deep learning to vision, image, text, and sequence problems.
  • Gain insights into optimization techniques and neural network architectures.
  • Use Python libraries to bridge the gap between math and implementation.
  • Perfect for data scientists and aspiring deep learning developers.

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