Data anomaly detection is the process of examining a set of source data to find data items that are different in some way from the majority of the source items. There are many different types of ...
Put another way, training a neural autoencoder finds the values of the weights and biases so that the output values closely match the input values. After training, all data items are fed to the ...
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