Table 2.

Classifier Architecture.

Layer	No. Units
Dropout	−
Fully Connected	64
Dropout	−
Fully Connected	c

The dropout rate is empirically set to $0.25$. The first fully connected layer uses the elu activation function, while the last fully connected layer consists of a softmax layer (whereby c depicts the number of classes of the classification task).