model_vgg: VGG implementation

Description Usage Arguments Functions

Description

VGG models implementations based on Very Deep Convolutional Networks For Large-Scale Image Recognition

Usage

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model_vgg11(pretrained = FALSE, progress = TRUE, ...)

model_vgg11_bn(pretrained = FALSE, progress = TRUE, ...)

model_vgg13(pretrained = FALSE, progress = TRUE, ...)

model_vgg13_bn(pretrained = FALSE, progress = TRUE, ...)

model_vgg16(pretrained = FALSE, progress = TRUE, ...)

model_vgg16_bn(pretrained = FALSE, progress = TRUE, ...)

model_vgg19(pretrained = FALSE, progress = TRUE, ...)

model_vgg19_bn(pretrained = FALSE, progress = TRUE, ...)

Arguments

pretrained

(bool): If TRUE, returns a model pre-trained on ImageNet

progress

(bool): If TRUE, displays a progress bar of the download to stderr

...

other parameters passed to the VGG model implementation.

Functions


torchvision documentation built on Aug. 17, 2021, 5:06 p.m.