Footnote:
Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments December 17, 2018 erstellt
Description:
We present a worked out example in R (including sources in the appendix), where deep learning falls behind much simpler methods. It is an already published application of a LeNet style convolutional neural network (CNN) for image recognition. We show that this complex CNN is outperformed by a single layer perceptron and that a logistic regression comes close if done naively and also outperforms if a transformation is applied on the inputs. The reason for this is highlighted by visual data analysis