Keras Implementation of time series anomaly detection using an Autoencoder โŒ›

This repo contains the model and the notebook for this time series anomaly detection implementation of Keras.

Full credits to: Pavithra Vijay

Background Information

This notebook demonstrates how you can use a reconstruction convolutional autoencoder model to detect anomalies in timeseries data.

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