Comments (3)
Hmm I think that when I first implemented it I had it in my head that deconv was basically reverse conv/pooling, which is why that's there. It's mostly harmless, although I wonder if it's unnecessarily eating up GPU memory since it would just make a copy of its input.
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Thank you for your prompt reply~
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Yeah thanks for pointing this out ! -- I just removed it and am able to train with larger batch sizes now, so I think it was just eating memory. My bad~
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Related Issues (12)
- Deconvolution vs Upsampling HOT 1
- Can you share your dataset? HOT 6
- Use a more open dataset HOT 7
- Problem training on YaleFaces HOT 1
- How to build a Holodeck with this HOT 3
- Problem generating interpolation from Yale Faces B HOT 2
- Runtime Error Warning HOT 2
- 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"
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