Hands-On Deep Learning Algorithms with Python

Loss function

In CycleGANs, we have two generators and two discriminators. Generators learn to translate images from one domain to another and a discriminator tries to discriminate between the translated images.

So, we can say the loss function of discriminator can be represented as follows:

Similarly, the loss function of discriminator can be represented as follows:

The loss function of generator can be represented as follows:

The loss function ...