1.1.4 - Image Generation
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Practice Questions
Test your understanding with targeted questions
What does GAN stand for?
💡 Hint: Think about the role of both creator and evaluator in a network.
Which model generates images from text?
💡 Hint: Focus on recent AI advancements in generating visuals from prompts.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What is the main goal of Generative Adversarial Networks (GANs)?
💡 Hint: Think about the role of 'generative' in the name.
True or False: Diffusion models use a single step to generate images.
💡 Hint: Consider the nature of refinement in their methodology.
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Challenge Problems
Push your limits with advanced challenges
Design an innovative application where GANs could be used beyond art and entertainment. Describe the concept.
💡 Hint: Think about industries that need tailored outputs.
Critique the efficiency of diffusion models compared to GANs in terms of processing time and output quality.
💡 Hint: Reflect on both the strengths and weaknesses of each model in practical use.
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