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CatsVsDogsKaggle

Latest Experiments:

For best accuracy and score on the validation and test set

Results at https://github.com/RemonComputer/CatsVsDogsKaggle/tree/master/src/exp_2 at 3/ at the Third Sub-Experiment which is:

  • Train set accuracy: 99.185%, train set average loss: 0.0007505370588231017
  • Test set accuracy: 99.04%, Test set average loss: 0.000939809382148087
  • Validation set accuracy: 99.44%, Validation set average loss: 0.000629462133301422
  • Submission score: 0.05981
  • Submission position: 119

For best submission score and position at the competition

Results at https://github.com/RemonComputer/CatsVsDogsKaggle/tree/master/src/exp_2 at 3/ at the Fifth Sub-Experiment which is:

  • Train set accuracy: 98.98%, Train set average loss: 0.03300796768404543
  • Test set accuracy: 98.92%, Test set average loss: 0.03538055700659752
  • Validation set accuracy: 99.28%, Validation set average loss: 0.026985937616974116
  • Score: 0.05779
  • Position: 104

Note: you will not find my name in the competition leaderboard this is due to the fact the conpetition has been closed and I am only experimenting with it's dataset