Kizspy | Question: 46
(Choose 1 answer)
What is the purpose of the dropout layer in a CNN?
A. Reducing the learning rate
B. Preventing overfitting by randomly dropping neurons during training
C. Increasing the number of parameters in the model
D. Enhancing model accuracy
