Autoencoder For Anomaly Detection Using Tensorflow Keras
Published in
7 min readApr 24, 2022
Anomaly detection using an unsupervised deep learning model
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.