Abstract: In the machine learning field, the performance of a classifier is usually measured in terms of prediction error. In most real-world problems, the error ...
Abstract: We present a simple but powerful architecture of convolutional neural network, which has a VGG-like inference-time body composed of nothing but a stack of 3 × 3 convolution and ReLU, while ...
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