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Merge pull request pytorch#292 from abdokhaire/patch-1
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fixing densenet161 reference
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soumith authored Oct 13, 2017
2 parents d3e7810 + daeb6af commit 9834c99
Showing 1 changed file with 2 additions and 2 deletions.
4 changes: 2 additions & 2 deletions docs/source/models.rst
Original file line number Diff line number Diff line change
Expand Up @@ -20,7 +20,7 @@ You can construct a model with random weights by calling its constructor:
alexnet = models.alexnet()
vgg16 = models.vgg16()
squeezenet = models.squeezenet1_0()
densenet = models.densenet_161()
densenet = models.densenet161()
inception = models.inception_v3()
We provide pre-trained models, using the PyTorch :mod:`torch.utils.model_zoo`.
Expand All @@ -33,7 +33,7 @@ These can be constructed by passing ``pretrained=True``:
alexnet = models.alexnet(pretrained=True)
squeezenet = models.squeezenet1_0(pretrained=True)
vgg16 = models.vgg16(pretrained=True)
densenet = models.densenet_161(pretrained=True)
densenet = models.densenet161(pretrained=True)
inception = models.inception_v3(pretrained=True)
All pre-trained models expect input images normalized in the same way,
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