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DataTraining.txt
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DataTraining.txt
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1 epoch = loss: 0.6074 - acc: 0.6653 - val_loss: 0.3986 - val_acc: 0.8177
5 epochs = loss: 0.1312 - acc: 0.9496 - val_loss: 0.2627 - val_acc: 0.8750
10 epochs = loss: 0.0291 - acc: 0.9909 - val_loss: 0.3853 - val_acc: 0.8929
15 epochs = loss: 0.0162 - acc: 0.9929 - val_loss: 0.5804 - val_acc: 0.8490
20 epochs = loss: 0.0077 - acc: 0.9990 - val_loss: 0.8180 - val_acc: 0.8571
50 epochs = loss: 1.0984e-07 - acc: 1.0000 - val_loss: 1.6415 - val_acc: 0.8542
100 epochs = loss: 1.0945e-07 - acc: 1.0000 - val_loss: 1.4978 - val_acc: 0.8571
Testing Results:
With model name = TeaEyeRazif-1epochs.h5
Error = 40
Percentage Err = 0.4 %
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With model name = TeaEyeRazif-5epochs.h5
Error = 10
Percentage Err = 0.1 %
--------------------
With model name = TeaEyeRazif-10epochs.h5
Error = 3
Percentage Err = 0.03 %
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With model name = TeaEyeRazif-15epochs.h5
Error = 3
Percentage Err = 0.03 %
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With model name = TeaEyeRazif-20epochs.h5
Error = 3
Percentage Err = 0.03 %
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With model name = TeaEyeRazif-50epochs.h5
Error = 5
Percentage Err = 0.05 %
--------------------
With model name = TeaEyeRazif-100epochs.h5
Error = 6
Percentage Err = 0.06 %
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