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Feature IC: Find good default parameters #13

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PatrickBue opened this issue Feb 14, 2019 · 2 comments
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Feature IC: Find good default parameters #13

PatrickBue opened this issue Feb 14, 2019 · 2 comments
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@PatrickBue
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Find default parameteres (e.g. learning rate) which work well for many IC problems, for shallow/deep models, for low/high res image, etc. See CVTK's default parameters table. Uses the internal datasets for single-class and multi-class image classification.

@jiata jiata self-assigned this Feb 28, 2019
@PatrickBue PatrickBue added this to the IC advanced (speed vs accuracy) training notebook milestone Mar 12, 2019
@jiata
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jiata commented Mar 18, 2019

The work for this is done, but not yet reflected in the repo (currently only reflected in the excel doc)

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jiata commented Mar 18, 2019

Moved to done. Created #56 to reflect notebook work that will use the good default parameters found in this issue.

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