This repository contains a deep-learning iteration of my anomaly detection project for elderly home surveillance, developed as part of my thesis internship for the Master in Data Analysis for Business ...
This project demonstrates how to use a simple autoencoder to perform dimensionality reduction on the MNIST dataset. The autoencoder is built with TensorFlow/Keras and learns to compress the ...
Anomaly detection, also called outlier detection, is the process of finding rare items in a dataset. Examples include finding fraudulent login events and fake news items. Take a look at the demo ...
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