Comments (2)
The two are basically the same. Well you may say they are different and actually they are. However, regarding the objective that you want to obtain, minimizing either will eventually give you the same result.
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Thanks.
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Related Issues (11)
- What is the data structure of output_batch ? HOT 1
- evaluate module Import error in train_gan [solution] HOT 1
- One of the Pre-trained Models in download link is empty.
- why SRGAN loss_D is 0?
- RuntimeError: CUDA error: out of memory
- License
- RuntimeError: input and target shapes do not match: input [16 x 512 x 8 x 8], target [16 x 512 x 2 x 2] HOT 1
- code is same for SRGAN and CGAN then what is the difference between them
- how to train on my own dataset?
- the file of best.pth.tar doesn't exist
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