Understanding generalization and optimization performance of deep CNNs
This work aims to provide understandings on the remarkable success of deep convolutional neural networks (CNNs) by theoretically analyzing their generalization performance and establishing optimization guarantees for gradient descent based training algorithms. Specifically, for a CNN model consistin...
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Main Authors: | , |
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Format: | text |
Language: | English |
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Institutional Knowledge at Singapore Management University
2018
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Online Access: | https://ink.library.smu.edu.sg/sis_research/9010 https://ink.library.smu.edu.sg/context/sis_research/article/10013/viewcontent/2018_ICML_deepCNNs.pdf |
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Institution: | Singapore Management University |
Language: | English |