The Complete GANs Bootcamp: Theory and Applications
About this course
This course is a comprehensive guide to Generative Adversarial Networks (GANs). The theories are explained in depth and in a friendly manner. After each theoretical lesson, we will dive together into a hands-on session, where we will be learning how to code different types of GANs in PyTorch, which is a very advanced and powerful deep learning framework!The following topics will be included: DCGANsLSGANsCGANsCoGANsSRGANsCycleGANsother types of GANsEach type will include a theoretical and practical session.
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What you'll learn
- understand the theory behind different types of GANs
- implement DCGANs, LSGANs, CGANs, CoGANs, SRGANs, CycleGANs in PyTorch
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