Purpose of Dropout

Easy

neural-networks Google Meta Amazon

During training, dropout randomly sets a fraction of neuron activations to zero. What is the primary purpose of this technique?

Multiple Choice

To speed up training by reducing the number of computations per forward pass To prevent overfitting by reducing co-adaptation between neurons To introduce non-linearity into the network To handle missing input features at inference time

Correct!

Incorrect — try again next time!

Upgrade to Pro to unlock solutions and explanations

Purpose of Dropout

Multiple Choice

Related problems

Deep-dive guides