resnext50_32x4d

holocron.models.resnext50_32x4d(pretrained: bool = False, checkpoint: Checkpoint | None = None, progress: bool = True, **kwargs: Any) → ResNet

ResNeXt-50 from “Aggregated Residual Transformations for Deep Neural Networks”

Parameters:

• pretrained – If True, returns a model pre-trained on ImageNet

• checkpoint – If specified, load that checkpoint on the model

• progress – If True, displays a progress bar of the download to stderr

• kwargs – keyword args of _resnet

Returns:

classification model

Return type:

torch.nn.Module

class holocron.models.ResNeXt50_32x4d_Checkpoint(value)

The model builder above accepts the following values as the checkpoint parameter. ResNeXt50_32x4d_Checkpoint.DEFAULT is equivalent to ResNeXt50_32x4d_Checkpoint.IMAGENETTE

ResNeXt50_32x4d_Checkpoint.IMAGENETTE:

Also available as ResNeXt50_32x4d_Checkpoint.DEFAULT.

dataset	imagenette
top1-accuracy	0.9455
top5-accuracy	0.9949
url	link
sha256	5832c4ce33522a9e
size	88.1MB
num_params	23.0M
categories	tench, English springer, cassette player, … (7 omitted)
input_shape	(3, 224, 224)
mean	(0.485, 0.456, 0.406)
std	(0.229, 0.224, 0.225)
interpolation	InterpolationMode.BILINEAR
commit	6e32c5b