GitHub

AutoEncoder-Tutorial-V0.ipynb

"In this tutorial, we will answer some common questions about autoencoders, and we will cover code examples of the following models:\n", "If you need help with your ...
GitHub

This repository contains two Jupyter notebooks that provide comprehensive tutorials on implementing an Autoencoder and a Variational Autoencoder using the MNIST dataset.

Autoencoder (AE) Tutorial: This notebook guides you through the basics of building and training an Autoencoder, demonstrating how to use it for data compression and reconstruction with the MNIST ...
Visual Studio Magazine

Data Anomaly Detection Using a Neural Autoencoder with C#

Dr. James McCaffrey of Microsoft Research tackles the process of examining a set of source data to find data items that are different in some way from the majority of the source items. Data anomaly ...
IEEE

A Light-Weight and Robust Tensor Convolutional Autoencoder for Anomaly Detection

Abstract: Robust PCA is a popular anomaly detection technique and has been widely used in many applications. Although Robust PCA is promising, it is usually designed in a two-order matrix form, which ...