vgg_19_bn

→VGG

vgg_19_bn(pretrained: bool = False, overrides: object = {})

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VGG-19 with BatchNorm — feature-extracting backbone.

Builds a VGG with the VGG-19 topology arch=(2, 2, 4, 4, 4) and lucid.nn.BatchNorm2d after each Conv + ReLU pair. Approximately 143.7 M parameters. The deepest VGG variant; BatchNorm is particularly helpful at this depth.

Model Size

Parameters

pretrainedbool= False

Reserved for future pretrained-weight loading. Currently ignored.

**overridesobject= {}

Keyword overrides forwarded into VGGConfig.

Returns

VGG

Backbone with the VGG-19-BN configuration applied (or with overrides merged on top of it).

Examples

>>> import lucid
>>> from lucid.models.vision.vgg import vgg_19_bn
>>> model = vgg_19_bn()
>>> x = lucid.randn(1, 3, 224, 224)
>>> out = model(x)
>>> out.last_hidden_state.shape
(1, 512, 7, 7)

Used by 1

lucid.models.vision.vgg