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3 questions
1vote
2answers
122views
Do anomalous input features to autoencoder result in high errors on the corresponding output features?
An autoencoder is trained by replicating each training instance to both input and output. However, when predicting for anomaly detection, will the output error be local to the same output feature(s) ...
- 43
1vote
1answer
482views
Using DONUT algorithm with keras
I am trying to get this repo of Xu's DONUT algorithm running, however I am getting an error I do not quite understand. The readme says I should load raw_data as follows: ...
3votes
0answers
752views
Autoencoder behavior with All White/Black MNIST
I am using a stock auto-encoder anomaly detector from Deeplearning4j. I was getting unexpected results from my own variant of the auto-encoder, which looks for anomalies in my own (non-image) data, ...
- 43
