Developing the discriminator network

The discriminator network will be used for classifying fake and real images. The architecture and summary of the network will be discussed in this section.

Architecture

The code that's used for developing the discriminator network architecture is as follows:

# Discriminator network
di <- layer_input(shape = c(h, w, c))
do <- di %>% 
         layer_conv_2d(filters = 64, kernel_size = 4) %>% 
         layer_activation_leaky_relu() %>% 
         layer_flatten() %>%
         layer_dropout(rate = 0.3) %>%  
         layer_dense(units = 1, activation = "sigmoid")
d <- keras_model(di, do)

From the preceding code, we can observe the following:

• We provided an input...