Comments (1)
Hi, in Training details of Section 3.1, we mentioned that "Labeled images and unlabeled images
are concatenated together to compute the average cross-entropy loss. "
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Related Issues (12)
- HOW
- Can these hyperparameters: layer number, layer dimensions, etc., trainable by this noiseStudent?
- techer model link not working HOT 2
- tabular data/ noisy instances
- How to train on BDD100K data? HOT 1
- How to train EfficientNet based ArcFace model with Noisy Student method
- Why this code takes only a small part of GPU mem and volatile only 0%
- Which tensorflow version are you using? HOT 2
- What is the structure of the training data for ImageNet?
- Test accuracy?
- the result got 0.09 about top_1_accuracy and got 0.50 about top_5_accuracy HOT 1
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