Hands-On Machine Learning for Algorithmic Trading

How GANs work

The supervised learning algorithms that we focused on for most of this book receive input data that's typically complex and predicts a numerical or categorical label that we can compare to the ground truth to evaluate its performance. These algorithms are also called discriminative models because they learn to differentiate between different output classes.