Classifying images with CNN

Let's now apply a deep neural network to an image-classification problem. Here, we will try to predict a traffic sign from its image. For this task, we will use a CNN (convolutional neural network), which is able to exploit the spatial correlation between nearby pixels in an image, and is the state of the art in deep learning when working on this kind of problem.

The dataset is available here: http://benchmark.ini.rub.de/?section=gtsrb&subsection=dataset. We would like to thank the team for having released the dataset free of charge, and reference the publication dealing with this dataset:
J. Stallkamp, M. Schlipsing, J. Salmen, and C. Igel. The German Traffic Sign Recognition Benchmark: A multi-class classification competition. In Proceedings of the IEEE International Joint Conference on Neural Networks, pages 1453–1460. 2011.

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