Anomaly detection is the process of finding items in a dataset that are different in some way from the majority of the items. For example, you could examine a dataset of credit card transactions to ...

The Dataset object is passed to a built-in PyTorch DataLoader object. The DataLoader object serves up the data in batches of a specified size, in a random order on each pass through the Dataset. The ...