Anomaly Detection in Keras with AutoEncoders (14.3)

Описание к видео Anomaly Detection in Keras with AutoEncoders (14.3)

In data mining, anomaly detection is the identification of rare items, events or observations which raise suspicions by differing significantly from the majority of the data. This can be useful to determine if a model needs to be refit or if a potential electronic attack is underway. This video shows how to use autoencoders in Keras to detect anomalies.

Code for This Video:
https://github.com/jeffheaton/t81_558...

Course Homepage: https://sites.wustl.edu/jeffheaton/t8...

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