What Are GANs? | Generative Adversarial Networks Tutorial | Deep Learning Tutorial | Simplilearn
About this course
This course provides a comprehensive overview of Generative Adversarial Networks (GANs), exploring their foundational concepts, including the roles of generator and discriminator models, and how they interact in adversarial training. Learners will gain insights into various types of GANs such as Vanilla GANs, Deep Convolutional GANs, Conditional GANs, and Super Resolution GANs. The tutorial further delves into practical applications of GANs in generating realistic images, text-to-image translation, and creating three-dimensional objects.
What you should already know
Familiarity with basic concepts of machine learning and deep learning is required before taking this course.
What you will learn
By the end of the course, learners can expect to understand the mechanics of GANs, their types, and practical applications in generating and manipulating images and videos.