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Results tagged with autoencoders
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user 73403
Feedforward neural networks trained to reconstruct their own input. Usually one of the hidden layers is a "bottleneck", leading to encoder->decoder interpretation.
4
votes
1
answer
967
views
AutoEncoder Reconstruction error for Anomaly Detection
I'm building a convolutional autoencoder as a means of Anomaly Detection for semiconductor machine sensor data - so every wafer processed is treated like an image (rows are time series values, columns …
- 835
1
vote
1
answer
76
views
Reconstruction error drops for an anomaly?
I have a convolutional Autoencoder being used as an anomaly detector, it works well. Today however I trained it on a new training/test data set and the anomalies were exposed as a drop in reconstructi …
- 835