Dropout is used to:
Answer options
A
Improve inference speed
B
Regularize and reduce overfitting
C
Increase training dataset size
D
Convert supervised to unsupervised learning
Correct answer: Regularize and reduce overfitting
Explanation
Quick AnswerThe correct answer is Regularize and reduce overfitting because it directly addresses the core logic of Generative AI.
Dropout is a regularization technique that randomly deactivates neurons during training, preventing co-adaptation and reducing overfitting.