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Found 3 papers, 1 papers with code
Rethinking Layer-wise Feature Amounts in Convolutional Neural Network Architectures
We characterize convolutional neural networks with respect to the relative amount of features per layer.
Building effective deep neural networks one feature at a time
Successful training of convolutional neural networks is often associated with suffi- ciently deep architectures composed of high amounts of features.
Building effective deep neural network architectures one feature at a time
Successful training of convolutional neural networks is often associated with sufficiently deep architectures composed of high amounts of features.
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