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 ...

In this article, the authors discuss how to detect fraud in credit card transactions, using Random Forest, Logistic Regression, Isolation Forest and Neural Autoencoder. BT ...

The autoencoder Train() method is called ... Theoretically, it's best to encode as minus-one-plus-one, for example male = -1, female = +1. However, zero-one encoding is often used for binary ...