[PDF] ImageNet classification with deep convolutional neural networks | Semantic Scholar
semanticscholar.org
[PDF] ImageNet classification with deep convolutional neural networks | Semantic Scholar
A large, deep convolutional neural network was trained to classify the 1.2 million high-resolution images in the ImageNet LSVRC-2010 contest into the 1000 different classes and employed a recently developed regularization method called "dropout" that proved to be very effective. We trained a large, deep convolutional neural network to classify ...
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