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Peter Frohn

1 paper here

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author position
  • last author1

Across the 1 of 1 paper where every author was matched, so the position is known.

fields
  • cs.CV1

identity via Semantic Scholar / OpenAlex

collaborators

1 paper

cs.CV2018

Testing the Efficient Network TRaining (ENTR) Hypothesis: initially reducing training image size makes Convolutional Neural Network training for image recognition tasks more efficient

Thomas Cherico Wanger, Peter Frohn

Convolutional Neural Networks (CNN) for image recognition tasks are seeing rapid advances in the available architectures and how networks are trained based on large computational i…

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