Question 76
Which statements correctly characterize Generative Adversarial Networks (GANs) introduced by Ian Goodfellow in 2014?
Detailed Solution
Statements (A), (B), and (C) are all fundamental definitions of Goodfellow's GAN framework.
Which statements correctly characterize Generative Adversarial Networks (GANs) introduced by Ian Goodfellow in 2014?
Statements (A), (B), and (C) are all fundamental definitions of Goodfellow's GAN framework.
How does Depth-Limited Search (DLS) prevent standard DFS from failing on infinite paths?
DLS treats nodes at depth limit l as leaf nodes without successors, halting infinite branch descent.
What is the mathematical formulation of Bayes' Rule for computing posterior probability P(H | E)?
Bayes' theorem updates belief in hypothesis H given observed evidence E: Posterior P(H|E) equals Likelihood P(E|H) times Prior P(H), divided by Evidence Marginal P(E).
Which activation function is designed to prevent neurons from becoming permanently inactive by providing a small non-zero slope alpha for negative inputs?
Leaky ReLU introduces a small positive slope (e.g., 0.01) for negative inputs, ensuring a non-zero gradient flows during backpropagation to prevent dying neurons.
How do modern image generation 'Diffusion Models' (such as Stable Diffusion and DALL-E) synthesize realistic images?
Diffusion models gradually corrupt training data with Gaussian noise (forward process) and learn a neural network (typically a U-Net) to reverse this noise step-by-step to generate new images from pure noise.