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Categories Generative AI

Build your own Generative Adversarial Networks (GANs) from Scratch

  • A basic understanding of machine learning principles and neural networks will be beneficial.
  • Comfort with Python programming languages is essential.
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What I will learn?

  • Gain a deep understanding of GANs, exploring their architecture, training methods, and diverse applications.
  • Learn step-by-step how to create GANs, starting from the fundamentals and progressing to advanced techniques, enabling you to develop your own models.
  • Acquire practical skills to deploy GANs in real-world scenarios across multiple domains, from computer vision and image generation to data augmentation and more.

Course Curriculum

Generative Adversarial Networks (GANs): Video Lesson

  • Introduction to GANs
    57:20
  • Play with GANs
    03:08:16
  • Theory of GANs
    48:04
  • Vanilla GAN: Hands-on
    57:02

Generative Adversarial Networks (GANs): Handout Notes

Hands-on Implementation

Assessment

Testimonials

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Material Includes

  • Video Lesson
  • Handout Notes
  • Python Codes
  • MCQs

Requirements

  • A basic understanding of machine learning principles and neural networks will be beneficial.
  • Comfort with Python programming languages is essential.

Who Should Take this course?

  • Beginners in Generative AI

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