Machine Learning for Engineering & Science Applications | IIT Madras - #94 Generative Adversarial Networks (GAN) | Machine Learning for Engineering & Science Applications

Welcome to 'Machine Learning for Engineering & Science Applications' course ! Welcome to the world of Generative Adversarial Networks (GANs), where two neural networks engage in a captivating duel to create stunningly realistic data! We'll meet the Generator, a creative artist that transforms random noise into convincing samples, and the Discriminator, a discerning critic that tries to distinguish real from generated data. Their adversarial training, guided by binary cross-entropy loss, pushes both networks to their limits, resulting in impressive image generation capabilities. We'll explore the magic of latent space manipulation and dive into applications that will leave you amazed. NPTEL Courses permit certifications that can be used for Course Credits in Indian Universities as per the UGC and AICTE notifications. To understand various certification options for this course, please visit https://nptel.ac.in/courses/106106198 #GenerativeAdversarialNetworks #GANs #Generator #Discriminator #LatentSpace #RandomNoiseVector #BinaryCrossEntropy #Applications #DCGAN