"Testing the Efficient Network TRaining (ENTR) Hypothesis: initially ..."

Thomas Cherico Wanger, Peter Frohn (2018)

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DOI: —

access: open

type: Informal or Other Publication

metadata version: 2021-01-23

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  - electronic edition @ arxiv.org (open access)
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  dblp key:
  - journals/corr/abs-1807-11583
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  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1807-11583
Thomas Cherico Wanger, Peter Frohn:
Testing the Efficient Network TRaining (ENTR) Hypothesis: initially reducing training image size makes Convolutional Neural Network training for image recognition tasks more efficient. CoRR abs/1807.11583 (2018)

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