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ImageNet Classification with Deep Convolutional Neural ...

ImageNet Classification with deep ConvolutionalNeural NetworksAlex KrizhevskyUniversity of SutskeverUniversity of E. HintonUniversity of trained a large, deep Convolutional Neural network to classify the millionhigh-resolution images in the ImageNet LSVRC-2010 contest into the 1000 dif-ferent classes. On the test data, we achieved top-1 and top-5 error rates of which is considerably better than the previous state-of-the-art. Theneural network, which has 60 million parameters and 650,000 neurons, consistsof five Convolutional layers, some of which are followed by max-pooling layers,and three fully-connected layers with a final 1000-way softmax.

rectangular image, we first rescaled the image such that the shorter side was of length 256, and then cropped out the central 256 256patch from the resulting image. We did not pre-process the images in any other way, except for subtracting the mean activity over …

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rcciit.org

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Large-scale Video Classification, Image, Classification, And Gender Classification using Convolutional Neural