Q. What is the purpose of the dropout technique in neural networks?

A
Increase model complexity
B
Prevent overfitting by randomly disabling neurons
C
Speed up training
D
Reduce memory usage
Solution:

Dropout randomly deactivates a subset of neurons during training to prevent overfitting.

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