Comments (2)
@clu2033 @zo7 I guess clu2033 use early_stopping in a merge model. It seems that Keras does not provide val_acc and val_loss in merge model, so the monitor only can be set to acc or loss. So if merge model is adopted, please modify the value of monitor.
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Hmm that's odd...
- It says it found 0 instances and 0 identities -- which dataset are you using? This only supports RaFD and Yale Faces (the latter you need to give a flag when you run it, see which with
python3 faces.py train -h
) - Which version of Keras are you using? It looks like the model compiled without monitoring the loss (which it should by default), but the callbacks I use to save the model and stop it early need it to work.
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Related Issues (12)
- Deconvolution vs Upsampling HOT 1
- Can I input a strange face and output a face of different emotions or poses? HOT 3
- keras, tensorflow, theano versions? HOT 4
- Trained Model Request HOT 1
- Problem while generating: No data provided for "pose"
- Can you share your dataset? HOT 6
- Use a more open dataset HOT 7
- why there is a pooling layer with pool_size=(1,1) before the upsamping layer? HOT 3
- Problem training on YaleFaces HOT 1
- How to build a Holodeck with this HOT 3
- Problem generating interpolation from Yale Faces B HOT 2
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from deconvfaces.