Network In Network Network In Network
Paper summary A paper in the intersection for Computer Vision and Machine Learning. They propose a method (network in network) to reduce parameters. Essentially, it boils down to a pattern of (conv with size > 1) -> (1x1 conv) -> (1x1 conv) -> repeat ## Datasets state-of-the-art classification performances with NIN on CIFAR-10 and CIFAR-100, and reasonable performances on SVHN and MNIST ## Implementations * [Lasagne](https://github.com/Lasagne/Recipes/blob/master/modelzoo/cifar10_nin.py)
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Network In Network
Min Lin and Qiang Chen and Shuicheng Yan
arXiv e-Print archive - 2013 via arXiv
Keywords: cs.NE, cs.CV, cs.LG

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