One-Class-NeuralNetwork
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all data got the same scores with too much training epochs
Hello Daniel,
Thank you for sharing your code. I tested it on a very simple dataset. The normal data are generated from a gaussian distribution with mean as 0 and std as 1 and the sample size is 1000. The anomalous data are generated from a gaussian distribution with mean as 5 and std as 1 and the sample is 20. I tried different epochs and the results are shown in the figure:
The hidden layer has 100 units. From the figure you can see that all the data got the same anomalous score for number of epochs as 500 and 1000. Did you notice a similar issue when you running the code?