• menu_book Deep Learning via Rust
  • toc Table of Contents
  • contact_mail Preface
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  • foundation Part I - Foundations
    • Chapter 1
    • Chapter 2
    • Chapter 3
    • Chapter 4
  • architecture Part II - Architectures
    • Chapter 5
    • Chapter 6
    • Chapter 7
    • Chapter 8
    • Chapter 9
    • Chapter 10
    • Chapter 11
    • Chapter 12
    • Chapter 13
  • calculate Part III - Advanced Techniques
    • Chapter 14
    • Chapter 15
    • Chapter 16
    • Chapter 17
    • Chapter 18
    • Chapter 19
    • Chapter 20
    • Chapter 21
  • done Closing Remark
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    • Part II
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    Part II

    article

    Chapter 5

    Introduction to Convolutional Neural Network (CNNs)

    article

    Chapter 6

    Modern CNN Architectures

    article

    Chapter 7

    Introduction to Recurrent Neural Network (RNNs)

    article

    Chapter 8

    Modern RNN Architectures

    article

    Chapter 9

    Self-Attention Mechanisms on CNN and RNN

    article

    Chapter 10

    Transformer Architectures

    article

    Chapter 11

    Generative Adversarial Networks (GANs)

    article

    Chapter 12

    Probabilistic Diffusion Models

    article

    Chapter 13

    Energy-Based Models (EBMs)



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