Lilly Tech Systems
GAN Architectures
Master generative adversarial networks from basic GANs to StyleGAN, CycleGAN, and training strategies.
Course Lessons
Follow these lessons in order for a complete understanding of gan architectures.
1. GAN Fundamentals
Learn about gan fundamentals in the context of gan architectures.
2. DCGAN Architecture
Learn about dcgan architecture in the context of gan architectures.
3. Wasserstein GAN
Learn about wasserstein gan in the context of gan architectures.
4. StyleGAN Architecture
Learn about stylegan architecture in the context of gan architectures.
5. Conditional GANs
Learn about conditional gans in the context of gan architectures.
6. CycleGAN for Image Translation
Learn about cyclegan for image translation in the context of gan architectures.
7. GAN Training Strategies
Learn about gan training strategies in the context of gan architectures.
What You'll Learn
By the end of this course, you will be able to:
Understand Core Concepts
Gain deep understanding of the principles and patterns that define gan architectures.
Apply in Practice
Implement real-world solutions using the architectural patterns and code examples from each lesson.
Make Architecture Decisions
Evaluate trade-offs and choose the right approaches for your specific requirements and constraints.
Build Production Systems
Design and implement production-ready AI systems that are reliable, scalable, and maintainable.