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 ...

Once the SCAE was fed images from each and the resulting clusters were assigned labels, it achieved 55% accuracy on SVHN and 98.7% accuracy on MNIST, which were further improved further to 67% and ...

High-dimensional data can be converted to low-dimensional codes by training a multilayer neural network with a small central layer to reconstruct high-dimensional input vectors. Gradient descent can ...