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help me in improving accuracy #1
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You are asking this for which source file? Would you mention the file name directly? |
facial-expression-recognition.py |
I've got the following metrics BTW, you can directly use the pre-trained weights stored in the path: https://github.com/serengil/tensorflow-101/tree/master/model . Set fit variable false in the main program and put all those files in same directory. |
Great job. I deployed with your models, it as good accuracy. But for better understanding just want to check can we improve our accuracy by tuning some hyper parameter like increasing learning epochs or any better ideas. |
Actually, you should re-design the model (add new convolution, pooling layers). But it requires test and test again. Also, you should train with gpu because it lasts very long. BTW, kaggle competition winner model got %34 accuracy. Here, we've already imporved that accuracy (%57). I mentioned it in related blog post: https://sefiks.com/2018/01/01/facial-expression-recognition-with-keras/ |
Nice job. Please can close the issue. |
I followed your ideas to train a model. After training when I test with my own data my predictions are not upto the mark.
Please share me your accuracy level.
print('Test accuracy:', 100*score[1])
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