Improved generalisation bounds for deep learning through L∞ covering numbers

Using proof techniques involving L∞ covering numbers, we show generalisation error bounds for deep learning with two main improvements over the state of the art. First, our bounds have no explicit dependence on the number of classes except for logarithmic factors. This holds even when formulating th...

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Bibliographic Details
Main Authors: LEDENT, Antoine, LEI, Yunwen, KLOFT, Marius
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2019
Subjects:
Online Access:https://ink.library.smu.edu.sg/sis_research/7211
https://ink.library.smu.edu.sg/context/sis_research/article/8214/viewcontent/85_wrshpnew.pdf
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Institution: Singapore Management University
Language: English
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