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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Bibliographic Details
Main Authors: ZHOU, Pan, FENG, Jiashi
Format: text
Language:English
Published: 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

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