Comments (2)
Moreover now my loss has stopped decreasing, it went from 42 to 20 in 10k steps, but now it has stopped decreasing, i'm talking about inference loss, not the total loss, can someone please help me out
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Initially my images were the ones as left when training on those images my accuracy was stuck at 0 and the loss plateaued at 20-22 , then i adjusted my alignment and got the right output(pun intended), then my loss started to decrease and my accuracy remained 0 for a while but now it is increasing and has reached about 0.5 at 90k steps, my current lfw accuracy is as such Accuracy-Flip: 0.95275+-0.01565 but i hope it will increase with more steps
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Related Issues (20)
- About the accuracy computation(关于计算准确率的问题) HOT 1
- the number of samples is not 5.8M
- resnet_v1_50/block1/unit_1/bottleneck_v1/shortcut_bn/BatchNorm/beta
- stom
- could I get the 512-D face embedding features ?
- pre trained models HOT 2
- How can I directly test the LFW data set with an existing model to get accuracy?Which folder is the model in?
- Embeddings model d
- In what format does the labels should be
- How to download pretrain ?
- Thank you for your code,could you tell why I feed input with shape(n,112,112,3),but just get the embedding with shape(1,512) HOT 1
- Performance issues in your project (by P3) HOT 1
- Performance issues in train_nets.py(P2)
- from models import base_server NOT IMPORTING
- center parallel strategy
- any instruction how to start?
- Share model please,,..
- Did you try a lighter base such as MobileFaceNet?
- compared with facenet HOT 2
- How to solve the problem of "summary" errors during training?
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