After training a deep convolutional neural network, you observe a large gap between the training

accuracy $(100\%)$ and the test accuracy $(42\%).$ Which of the following methods is commonly used to

reduce this gap?

$($A$)$ Dropout

$($B$)$ Sigmoid activation

$($C$)$ RMSprop optimizer

$($D$)$ None of the above