Comments (3)
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Related Issues (20)
- Loss Functions: Paper vs Code HOT 1
- Variable does not exist or was not created with tf.get_variable
- loss about l_unl is not clear
- why not zero mean the input HOT 1
- Inception Score calculation HOT 5
- Inception score for conditional GANs HOT 1
- Batch size mismatch with Inception classifier HOT 10
- how to specify num of classes or labels in imagenet code
- can't run it HOT 2
- Tab Error HOT 3
- ValueError: squeeze_dims[1] not in [-2,2). for 'Squeeze_1' (op: 'Squeeze') with input shapes: [?,2048]. HOT 1
- question of implementation of inception score HOT 7
- AttributeError: 'module' object has no attribute 'absolute_import' HOT 1
- how long train_mnist_feature_matching.py run?
- What version of your python
- Will historical averaging from the paper be implemented?
- Segmentation fault
- Implementation of cifar10_match_feature on Pytorch.
- What's the meaning of the parameter splits(default=10)?
- Inference mode vs training mode
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