Java Deep Learning Cookbook

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The following are possible deep learning solutions to the problem types previously discussed:

• Fraud detection problems: The optimal solution varies according to the data. We previously mentioned two data sources. One was credit card transactions and the other was user metadata based on their login/logoff activities. In the first case, we have labeled data and have a transaction sequence to analyze.

Recurrent networks may be best suited to sequencing data. You can add LSTM (https://deeplearning4j.org/api/latest/org/deeplearning4j/nn/layers/recurrent/LSTM.html) recurrent layers, and DL4J has an implementation for that. For the second case, we have unlabeled data and the best choice would be a variational (https://deeplearning4j.org/api/latest/org/deeplearning4j/nn/layers/variational/VariationalAutoencoder.html ...