Calculate MAE
DoDDnice6 opened this issue · comments
Hi. I wonder MAE can be calculated during training data? I searched the internet and didn't seem to calculate it when the output was multiple.Can output be combined into a dict?
And did you try the age and gender estimate model using ResNet or InceptionResnet as the sub project?
Thanks again to your project. I just started learning machine learning, last time I asked and you answered very enthusiastically
Hi. I wonder MAE can be calculated during training data? I searched the internet and didn't seem to calculate it when the output was multiple.Can output be combined into a dict?
Yes.
https://keras.io/metrics/#custom-metrics
And did you try the age and gender estimate model using ResNet or InceptionResnet as the sub project?
I recommend PyTorch version. https://github.com/yu4u/age-estimation-pytorch
Many models can be used.
"The function would need to take (y_true, y_pred) as arguments and return a single tensor value."
But here the output is multipe. I read here [(https://stackoverflow.com/questions/44172165/keras-multiple-output-custom-loss-function/55894885#55894885)] and it seems they can't handle it.
I recommend PyTorch version. https://github.com/yu4u/age-estimation-pytorch
Many models can be used.
Looks like this only estimates age. I will try different models with simultaneous age and gender estimates. Thank you
http://faroit.com/keras-docs/2.0.6/models/model/
To specify different metrics for different outputs of a multi-output model, you could also pass a dictionary, such as metrics={'output_a': 'accuracy'}
I did not try it but it seems to be possible.
thank you