.

an example :

https://people.csail.mit.edu/kalyan/AI2_Paper.pdf

.

you can use autoencodersto learn your 'normal' class, then when testing, if the anomalies look different, there will a huge reconstruction error by using the learnt autoencoder , you can use that to detect an anomaly.