Developing the generator network

The generator network will be used for generating fake images from data that's provided in the form of noise. In this section, we will develop the architecture of the generator network and look at the parameters that are involved by summarizing the network.

Network architecture

Let's take a look at the code for developing the generator network architecture:

# Generator network
h <- 28; w <- 28; c <- 1; l <- 28  
gi <- layer_input(shape = l)
go <- gi %>% layer_dense(units = 32 * 14 * 14) %>%
         layer_activation_leaky_relu() %>% 
         layer_reshape(target_shape = c(14, 14, 32)) %>% 
         layer_conv_2d(filters = 32, 
                       kernel_size...