docs: clarify normalization statistics in Knowledge Distillation tutorial#3928
docs: clarify normalization statistics in Knowledge Distillation tutorial#3928Charuhasini30 wants to merge 1 commit into
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Clarified normalization values used for input images, specifying that they correspond to ImageNet statistics instead of CIFAR-10.
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/tutorials/3928
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Fixes #3927
The tutorial currently states that the normalization values
mean=[0.485, 0.456, 0.406]
std=[0.229, 0.224, 0.225]
represent statistics computed from the CIFAR-10 training subset.
These values are commonly recognized as ImageNet normalization statistics, which may be confusing to readers. This PR clarifies the wording in the tutorial documentation.