Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
Publication
Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
In this supplementary material, we present the details of the neural network architecture and training settings used in all our experiments. This holds for all experiments presented in the main paper as well as in this supplementary material. We also show the summary results of all of our 96 experiments (test accuracy, training cross-entropy loss, and regularization loss), sampled at 100 epoch intervals. We analyze these results for each of the benchmark datasets, namely MNIST, Fashion-MNIST and CIFAR10, and underline global observations we make throughout the entire experiment set.
The capabilities of deep learning systems have advanced much faster than our ability to understand them. Whilst the gains from deep neural networks (DNNs) are significant, they are accompanied by a growing risk and gravity of a bad outcome. This is tr ...