Each item is a 28 x 28 grayscale image (784 pixels) of a handwritten digit from "0'" to "9". [Click on image for larger view.] Figure 1. Anomaly Detection on the MNIST Dataset The demo program creates ...

In this study, we explore an image-based method to automate the manual anomaly detection process on quality control plots using deep learning. To do this we trained a Convolutional Neural Network (CNN ...

Get Code Download Data anomaly detection is 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. There are many ...