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Image Classification Techniques (Writing...)
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gistfile1.md

TODO

  • Mean Teacher (semi supervised)
  • Mixup
    • merge images and labels, then learn
  • Pyramid Net
    • CNN
  • Random Erasing
    • That's it
  • Test time augmentation
    • aug & average

Before Learning

  • Data analysis (graph, stats)
  • NaN to mean
  • Erase unnecessary column
  • Merge similar column
  • Domain knowledge

Data Augmentation

  • Usual method +
  • Random Erasing
  • mixup

Basic

  • Cross Validation
  • Hyper Parameter Random Sampling

Before Learning

  • Crop or scale image

On Learning

  • TODO

On Test

  • Test data augmentation
  • Ensemble

Deep Learning

  • More complicated model + computation power
  • fine-tune

Framework

  • Keras ( or tensorflow )
  • mxnet
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