Comments (1)
The images are 48x48. We scale it to 64x64 to get a little bit better accuracy due to larger network size. My guess is if we have used fractional pooling we would get similar accuracy with 48x48 input.
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Related Issues (16)
- License: commercial use?
- Overloaded neutral? HOT 2
- Distorting the image on new images to predict HOT 3
- Can we use cntk-gpu instead of cntk package?
- Can every one share your results?
- Test accuracy on Multi-label
- errors in the new csv file? HOT 1
- What's the meaning of "NF","unknown" HOT 1
- This repo is missing important files HOT 1
- Same number of votes on two emotions HOT 1
- How to match the file fer2013new.csv and fer2013 HOT 1
- Where can download FER dataset?
- There are some error in rect_util.py
- the loss function for multi label learning
- the environment of code
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