• Building an Anomaly Detection System with Recurrent Neural Networks

    Industrial plants, aircraft, cybersecurity, but also medicine, finance, and more: anomaly detection systems serve a vital role in numerous contexts, promptly identifying malfunctions and irregularities without the need for (and often outperforming) constant expert oversight. There are multiple types of anomaly detection. In this article, I will demonstrate how to use neural networks to build a simple anomaly detection system specifically for time series data, i.e., the kind of data that is mostly generated by sensors.

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