Now, this is the part you've been waiting for: how do I build a GAN? There are a few principal components to the construction of this network architecture. First, we need to have a method to produce neural networks easily, such as Keras or PyTorch (using the TensorFlow backend). This critical piece will be covered extensively in Chapter 2, Data First Easy Environment, and Data Prep and Chapter 3, My First GAN in Under 100 Lines. Second, we need to produce the two neural-network-based components, named the generator and discriminator.