Beginner
Artificial Intelligence & Machine Learning
Q33 / 100
What is dropout in neural networks?
Correct! Well done.
Incorrect.
The correct answer is B) A regularization technique randomly "dropping" neurons during training to prevent co-adaptation and reduce overfitting
B
Correct Answer
A regularization technique randomly "dropping" neurons during training to prevent co-adaptation and reduce overfitting
Explanation
Dropout: randomly set each neuron output to 0 with probability p during training. Forces the network to learn redundant representations. At inference, outputs are scaled by (1-p). Acts as ensemble of thinned networks.
Progress
33/100