keras-resnet
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can not get val_acc above 90%
Hi there,
In the paper the val_acc could reach more than 93%, but my trained model using the default configuration could at most got 87% val_acc. I've tried different learning rate schedules but do not improve a lot.
Any idea how can we further boost the val_acc? Thank you.
I don't think all the subtleties in section 4.2 are implemented (https://arxiv.org/pdf/1512.03385.pdf) This is just a sample application. Feel free to submit a PR.
It would be good to have a working sample that matches the accuracy described in the paper.