Reviewing results

In this section, we will review the network losses that were obtained from 100 iterations. We will also take a look at the progress of using fake images from iteration 1 to 100.

Discriminator and GAN losses

The discriminator and GAN loss values that were obtained from our 100 iterations can be plotted as follows. The discriminator loss is based on the loss values for the fake and real images:

From the preceding plot, we can make the following observations:

• The loss values for the discriminator network and the GAN show high variability during the first 20 iterations. This variability is an outcome of the learning process.
• The discriminator and generator networks are competing against each other and trying...