Which of the following best describes the difference between generative and discriminative models?
Answer options
A
Generative models learn the data distribution, while discriminative models learn the decision boundary
B
Generative Adversarial Network (GAN)
C
Diffusion Model
D
Support Vector Machines
Correct answer: Generative models learn the data distribution, while discriminative models learn the decision boundary
Explanation
Quick AnswerThe correct answer is Generative models learn the data distribution, while discriminative models learn the decision boundary because it directly addresses the core logic of Essentials.
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