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@samimideksa samimideksa commented Jun 5, 2018

  • accept variable image size
  • read default arguments from config.json
  • reduced rotation range to 10 and deleted shear range from datagenerator to alleivatte underfitting problem
  • trained the model using lfw dataset for facial images containing 13000 facial images and helen dataset containing 2300 images with the original dataset
  • used adamax optimzer based on infinity norm to enhance the performance of the model. It's paper can be found in this link.

These changes can be merged with the original repository after a discussion with my colleague @mitiku1 .

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