Generative Adversarial Networks (GANs) Specialization | Coursera

Break into the GANs space. Master cutting-edge GANs techniques through three hands-on courses!
WHAT YOU WILL LEARN
Understand GAN components, build basic GANs using PyTorch and advanced DCGANs using convolutional layers, control your GAN and build conditional GAN

Compare generative models, use FID method to assess GAN fidelity and diversity, learn to detect bias in GAN, and implement StyleGAN techniques

Use GANs for data augmentation and privacy preservation, survey GANs applications, and examine and build Pix2Pix and CycleGAN for image translation

SKILLS YOU WILL GAIN
Generator
Image-to-Image Translation
glossary of computer graphics
Discriminator
Generative Adversarial Networks
Controllable Generation
WGANsConditional Generation
Components of GANs
DCGANsBias in GANs
StyleGANs

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