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Facial_expression_detection

FER 2013 Challenge

The links to pretrained models along with the accuracy score is provided .

Model 1

  • the following model gives 65.55 validation accuracy 1.0872

https://www.dropbox.com/s/5vnmc6028zm2qd0/65.55%25.h5?dl=0

Model 2

  • the model gave 66.245 validation accuracy loss 0.9982

  • it was optimized using normalizationa and using new dropout values

Model 3

  • it gave 63.352 accuracy loss 1.196

  • adding 2 more conv2d layers and a dense layer didn't help

  • Since the performance decreased, we are not providing a link for the model

Model 4

  • Final tuning for days incresed the accuracy a little

  • The parameters for dropout , etc were changed along with other parameters.

  • The final accuracy came out to be 67.66 %

https://drive.google.com/file/d/1-210AjhzEsNuOvnKMVT-98S4UfZ1hs2p/view?usp=sharing

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