"Quantifying the generalization error in deep learning in terms of data ..."

Pengzhan Jin et al. (2019)

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DOI: —

access: open

type: Informal or Other Publication

metadata version: 2019-12-11

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  - electronic edition @ arxiv.org (open access)
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  dblp key:
  - journals/corr/abs-1905-11427
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  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1905-11427
Pengzhan Jin, Lu Lu, Yifa Tang, George E. Karniadakis:
Quantifying the generalization error in deep learning in terms of data distribution and neural network smoothness. CoRR abs/1905.11427 (2019)

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