For example, you could examine a dataset of credit card transactions to find anomalous items that might indicate a fraudulent transaction. This article explains how to use a PyTorch neural autoencoder ...

Generating synthetic data is useful when you have imbalanced training data for a particular class, for example, generating synthetic females in a dataset of employees that has many males but few ...