Abstract: Anomaly detection (AD) is a critical task in manufacturing inspection. Reconstructive AD methods restore the normal appearance of an object, ideally modifying only the anomalous regions.
This project shows how to find anomalies in financial time series data, specifically the stock values of Apple (AAPL), using a LSTM Autoencoder. Stock price anomalies may be a sign of major market ...
Abstract: Credit card fraud detection is crucial for financial security which entails identifying unauthorized transactions that can result in significant financial losses. Detection is inherently ...
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