Autoencoders, GANs, and Diffusion Models Test - Practice Test (100 MCQ)

Sharpen your understanding of cutting-edge generative AI techniques with this comprehensive practice test featuring 100 multiple-choice questions. Designed for students, researchers, and AI enthusiasts, this test covers the fundamentals and advanced concepts of:

• Autoencoders – Learn about architecture, training, variants (e.g., variational autoencoders), and use cases.
• Generative Adversarial Networks (GANs) – Dive into generator-discriminator dynamics, loss functions, training challenges, and popular GAN models like DCGAN, CycleGAN, and StyleGAN.
• Diffusion Models – Understand the latest in generative modeling, including forward and reverse processes, denoising steps, and applications in image synthesis.

Whether you're preparing for interviews, exams, or hands-on projects, this practice test will help you assess your knowledge and pinpoint areas for improvement. Each question is crafted to reflect real-world understanding and includes conceptual, theoretical, and scenario-based items.