Figure 2.

The network architectures of the generator and the discriminator. The generator is formed with four fully connected layers and nine convolutional layers. The discriminator is formed with four convolutional layers. The Softplus activation function (Nwankpa et al., 2018 ▸) is used to connect the fully connected layers. The ReLU activation function (rectified linear unit; Xu et al., 2015 ▸) is used to connect the convolutional layers.