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