Performance optimization tips and best practices

In this section, we will carry out an experiment by inserting an additional convolutional layer into the generator network, as well as in the discriminator network. Through this experiment, we will convey performance optimization tips and best practices.

Changes in the generator and discriminator network

The changes in the generator network are shown in the following code:

# Generator network
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 = 5,
               ...