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 ...

This is a simple example of using a neural network as an autoencoder without using any machine learning libraries in Python. The input is a 8-bit binary digits and as expected the output is the same 8 ...

An autoencoder is essentially a Neural Network that replicates ... In this simple, introductory example I only use one hidden layer since the input space is relatively small initially (92 variables).

In this paper, a new autoencoder is created as a modifier to make the two combine to form an adversarial The joint detection framework of the sample to achieve a high detection rate for the latest ...

Abstract: This article proposes a new underwater thruster fault detection and identification method based on adversarial variational autoencoder (AdvVAE). Adversarial training and variational ...

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 ...