03 — Curriculum
Course content
4 sections · 7 lectures
ADaSci Academy
Build your own Generative Adversarial Networks (GANs) from Scratch
Generative Adversarial Networks (GANs) have generators and discriminators, which allows the researcher to generate more data. It is a class of machine learning designed by Ian Goodfellow and his colleagues in 2014. GANs…
2,294+ enrolled
7 hours
Intermediate
01 — Overview
About this course
- Generative Adversarial Networks (GANs) have generators and discriminators, which allows the researcher to generate more data. It is a class of machine learning designed by Ian Goodfellow and his colleagues in 2014. GANs are used in various applications today and are considered as one of the top domains in future AI Applications. With an increasing demand for professionals to have hands-on experience with the GANs technology, we are bringing an extensive workshop which will allow the developers to learn and implement their own (GANs) from Scratch. OutlineIntroduction to GANs
- The Theory of GANs
- Building a Vanilla GAN model
- Challenges in GANs
- Play with GANs
Note: ADaSci Members get 50% discount and Premium Members get 100% discount on the course.
02 — Outcomes
What you'll 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.04 — Prerequisites
Requirements
- A basic understanding of machine learning principles and neural networks will be beneficial. Comfort with Python programming languages is essential.
05 — Audience
Who should take this course
- Beginners in Generative AI
$34.99
Member Pricing
FREE with Premium
50% off with General
Duration7h
LevelIntermediate
CertificateYes
$34.99