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Collaborating Authors

 Xiyu Zhai



How Many Samples are Needed to Estimate a Convolutional Neural Network?

Neural Information Processing Systems

A widespread folklore for explaining the success of Convolutional Neural Networks (CNNs) is that CNNs use a more compact representation than the Fullyconnected Neural Network (FNN) and thus require fewer training samples to accurately estimate their parameters. We initiate the study of rigorously characterizing the sample complexity of estimating CNNs.