The topics that are going to be covered in this chapter are as follows:

• From theory to code – a simple example
• Building a neural network in Keras and TensorFlow
• Explaining your first GAN component – discriminator
• Explaining your second GAN component – generator
• Putting all the GAN pieces together
• Training your first GAN
• Training the model and understanding the GAN output