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Hands-On Mathematics for Deep Learning Cover

Hands-On Mathematics for Deep Learning

Build a solid mathematical foundation for training efficient deep neural networks

Publisher:Packt Publishing Limited
By:   
Paid access
|Jun 2024
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Table of contents

Table of Contents

  1. Linear Algebra
  2. Vector Calculus
  3. Probability and Statistics
  4. Optimization
  5. Graph Theory
  6. Linear Neural Networks
  7. Feedforward Neural Networks
  8. Regularization
  9. Convolutional Neural Networks
  10. Recurrent Neural Networks
  11. Attention Mechanisms
  12. Generative Models
  13. Transfer and Meta Learning
  14. Geometric Deep Learning
PDF ISBN: 978-1-83864-184-9
Publisher: Packt Publishing Limited
Copyright owner: © 2020 Packt Publishing Limited
Publication date: 2024
Language: English
Pages: 364
Related subjects:
Computer sciences,
Artificial intelligence
BISAC subjects:
COM004000,
COM077000,
COM037000
Thema subjects:
UYQ,
UFM,
UYA,
UYQM

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