Generative Adversarial Networks: Build Your First Models – Real Python

If you've studied neural networks, then most of the applications you've come across were likely implemented using discriminative models. Generative adversarial networks, on the other hand, are part of a different class of models known as generative models. Discriminative models are those used for most supervised classification or regression problems. As an example of a classification problem, suppose you'd like to train a model to classify images of handwritten digits from 0 to 9. For that, you could use a labeled dataset containing images of handwritten digits and their associated labels indicating which digit each image represents. During the training process, you'd use an algorithm to adjust the model's parameters.