2.2 Convolutional Autoencoder A more powerful and complex form of autoencoder which can combine local information to create complex abstract features across 2D image patches ... space representation.

An autoencoder is a special type ... handwritten digits data set has been used to carry out image reconstruction, the fashion MNIST data set has been used as an anomaly in order to perform anomaly ...

but the Convolutional Autoencoder was able to reconstruct most of the anomaly images correctly, which may not be ideal for anomaly detection. On the other hand, the Deep Autoencoder and Stacked ...

Anomaly detection through employing machine learning techniques ... In this work, we construct an infrared and collinear safe autoencoder based on graph neural networks by employing energy-weighted ...