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hub / github.com/VainF/DeepLabV3Plus-Pytorch / wide_resnet101_2

Function wide_resnet101_2

network/backbone/resnet.py:331–346  ·  view source on GitHub ↗

r"""Wide ResNet-101-2 model from `"Wide Residual Networks" `_ The model is the same as ResNet except for the bottleneck number of channels which is twice larger in every block. The number of channels in outer 1x1 convolutions is the same, e.g. l

(pretrained=False, progress=True, **kwargs)

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Callers

nothing calls this directly

Calls 1

_resnetFunction · 0.85

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