Visualizing Neural Networks with the Grand Tour

To illustrate the technique we will present, we trained deep neural network models (DNNs) with 3 common image classification datasets: MNIST MNIST contains grayscale images of 10 handwritten digits Image credit to https://en.wikipedia.org/wiki/File:MnistExamples.png , fashion-MNIST Fashion-MNIST contains grayscale images of 10 types of fashion items: Image credit to https://towardsdatascience.com/multi-label-classification-and-class-activation-map-on-fashion-mnist-1454f09f5925 and CIFAR-10 CIFAR-10 contains RGB images of 10 classes of objects Image credit to https://www.cs.toronto.edu/~kriz/cifar.html .