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"Quantifying the separability of data classes in neural networks."

Achim Schilling et al. (2021)

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DOI: 10.1016/J.NEUNET.2021.03.035

access: open

type: Journal Article

metadata version: 2022-07-27

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  dblp key:
  - journals/nn/SchillingMGMK21
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  - https://dblp.org/rec/journals/nn/SchillingMGMK21
Achim Schilling, Andreas Maier, Richard Gerum, Claus Metzner, Patrick Krauss:
Quantifying the separability of data classes in neural networks. Neural Networks 139: 278-293 (2021)

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