Autoencoder For Anomaly Detection Using Tensorflow Keras

Anomaly detection using an unsupervised deep learning model

Photo by Andrea De Santis on Unsplash

Autoencoder is an unsupervised neural network model that uses reconstruction error to detect anomalies or outliers. The reconstruction error is the difference between the reconstructed data and the input data.