A width-search method built on function-preserving widening finds CIFAR channel patterns that reduce parameters and slightly lower test error relative to standard network schedules.
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Rethinking the Number of Channels for the Convolutional Neural Network
A width-search method built on function-preserving widening finds CIFAR channel patterns that reduce parameters and slightly lower test error relative to standard network schedules.