This solution is a deep learning-based approach to learn and understand the patterns in financial transaction data. It aims at learning the normal behavior patterns of the transactions during the training process using a Restricted Boltzmann Machine algorithm. Once trained, the model can identify abnormal patterns of transactions, thereby classifying them as anomalous.