To use an autoencoder for anomaly detection, you compare the reconstructed version of an image with its source input. If the reconstructed version of an image differs greatly from its input, the image ...

This is called dimensionality reduction. The two most common techniques for dimensionality reduction are using PCA (principal component analysis) and using a neural autoencoder. This article explains ...