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Generative Adversarial Networks (GANs) Specialization
Break into the GANs space. Master cutting-edge GANs techniques through three hands-on courses!
Free
This Course Includes
coursera
4.7 (2.1K reviews )
2 months at 10 hours a week 
english
Online - Self Paced
specialization
DeepLearning.AI
About Generative Adversarial Networks (GANs) Specialization
Learn in-demand skills from university and industry experts
Master a subject or tool with hands-on projects
Develop a deep understanding of key concepts
Earn a career certificate from DeepLearning.AI
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.