·19.1 Generative Adversarial Networks – The Concept(Goal: IntroduceGANsas a solution where a generator and discriminator train together in competition, leading to highly realistic outputs.)
19.2 How GANs Learn – Training Dynamics(Goal: Understand thetraining processof GANs: how generator and discriminator improve through their adversarial game.)
19.3 Cool Things GANs Can Do(Goal: Showcaseapplications of GANs– how they can be used for creative and practical tasks like image transformation, enhancement, and more.)
19.4 The Dark Side of GANs – Deepfakes and Misuse(Goal: Discuss theethical and security concernsrelated to GANs, such as deepfake images/videos and deception.)