curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras
iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data
The project trains an unsupervised autoencoder architecture on legitimate transactions to learn normal spending patterns, then detects fraud by identifying reconstruction errors that deviate significantly from the learned baseline. Includes complete data preprocessing, model training, and evaluation workflows compatible with TensorFlow 1.1 and Keras 2.0.4, with accompanying blog post explaining the anomaly detection methodology.
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