Autoencoder Neural Network Framework This repository contains my solution to the exercises in the "312. Build a Neural Network Framework" module of the End-to-End Machine Learning website by Brandon ...

Recently, the autoencoder (AE) has received significant attention in the hyperspectral anomaly detection task. However, all existing AE-based anomaly detectors operate under the linear mixing model ...

Automatic recommendation has become a popular research field: it allows the user to discover items that match their tastes. In this paper, we proposed an expanded autoencoder recommendation framework.

We used both handwriting digits dataset (Data framework 1 and 3) and clothing dataset (Data framework 4) to see the performance of models in different kinds of dataset. Here are the results. In data ...