Introduction to Generative Adversarial Networks (GANs)

Generative Adversarial Networks (GANs) are a groundbreaking innovation in deep learning, capable of generating realistic images, audio, and synthetic data. In this hands-on course, Gwendolyn Stripling—a machine learning and artificial intelligence and PhD—provides a solid foundation in the architecture and training of GANs. Learn how GANs work and get proactive practice, applying GANs to tasks such as synthetic data and image generation. This course will help you confidently step into the world of generative modeling and discover how these architectures are applied to real-world tasks.