1. GAN Course

    • Buy now
    • Learn more
  2. Module 1 - Introduction and an Overview to GANs

    • Lecture 1.1 Introduction and History of GANs
    • Lecture 1.2 Generative Models
    • Lecture 1.3 Why do We Use GANs?
    • Lecture 1.4 Types of GANs Translations
    • Lecture 1.5 Application Areas Part 1
    • Lecture 1.6 Application Areas - Part 2
    • Lecture 1.7 Components of GANs
    • Lecture 1.8 How do GANs Work and Loss Function
    • Lecture 1.9 Want to continue learning GAN
  3. Module 2 - Vanilla GAN Training Cycle and Basic Building Blocks

    • Lecture 2.1 Vanilla GAN Training
    • Lecture 2.2 Training the Generator and the Discriminator
    • Lecture 2.3 The Objective Function
    • Lecture 2.4 The Training Cycle and Basic Building Blocks
    • Lecture 2.5 Want to continue learning GAN
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Module 1 - Introduction and an Overview to GANs

  1. GAN Course

    • Buy now
    • Learn more
  2. Module 1 - Introduction and an Overview to GANs

    • Lecture 1.1 Introduction and History of GANs
    • Lecture 1.2 Generative Models
    • Lecture 1.3 Why do We Use GANs?
    • Lecture 1.4 Types of GANs Translations
    • Lecture 1.5 Application Areas Part 1
    • Lecture 1.6 Application Areas - Part 2
    • Lecture 1.7 Components of GANs
    • Lecture 1.8 How do GANs Work and Loss Function
    • Lecture 1.9 Want to continue learning GAN
  3. Module 2 - Vanilla GAN Training Cycle and Basic Building Blocks

    • Lecture 2.1 Vanilla GAN Training
    • Lecture 2.2 Training the Generator and the Discriminator
    • Lecture 2.3 The Objective Function
    • Lecture 2.4 The Training Cycle and Basic Building Blocks
    • Lecture 2.5 Want to continue learning GAN

9 Lessons
    • Lecture 1.1 Introduction and History of GANs
    • Lecture 1.2 Generative Models
    • Lecture 1.3 Why do We Use GANs?
    • Lecture 1.4 Types of GANs Translations
    • Lecture 1.5 Application Areas Part 1
    • Lecture 1.6 Application Areas - Part 2
    • Lecture 1.7 Components of GANs
    • Lecture 1.8 How do GANs Work and Loss Function
    • Lecture 1.9 Want to continue learning GAN