Striving for Simplicity: The All Convolutional Net Striving for Simplicity: The All Convolutional Net
Paper summary A paper in the intersection for Computer Vision and Machine Learning. They simplify networks by replacing max-pooling by convolutions with higher stride. * introduce a new variant of the "deconvolution approach" for visualizing features learned by CNNs, which can be applied to a broader range of network structures than existing approaches ## Datasets competitive or state of the art performance on several object recognition datasets (CIFAR-10, CIFAR-100, ImageNet)
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Striving for Simplicity: The All Convolutional Net
Jost Tobias Springenberg and Alexey Dosovitskiy and Thomas Brox and Martin Riedmiller
arXiv e-Print archive - 2014 via arXiv
Keywords: cs.LG, cs.CV, cs.NE

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