In this chapter, we'll cover the following recipes:

• How the SimGAN architecture works
• Pseudocode – how does it work?
• How to work with training data
• Code implementation – loss functions
• Code implementation – generator
• Code implementation – discriminator
• Code implementation – GAN
• Training the SimGAN network