GitHub

01_autoencoder.rst

In this tutorial, we will explore the capabilities of EIR for array output tasks, specifically focusing on MNIST digit generation using a simple autoencoder. Arrays can represent various types of data ...
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

An Elliptic Kernel Unsupervised Autoencoder—Graph Convolutional Network Ensemble Model for Hyperspectral Unmixing

Abstract: Spectral unmixing is an important technique in remote sensing for analyzing hyperspectral images to identify endmembers and estimate fractional abundance maps. Over the past few decades, ...
IEEE

Community Detection via Autoencoder-Like Nonnegative Tensor Decomposition

Abstract: Community detection aims at partitioning a network into several densely connected subgraphs. Recently, nonnegative matrix factorization (NMF) has been widely adopted in many successful ...