model_mobilenet_v2

Constructs a MobileNetV2 architecture from
<a href="https://arxiv.org/abs/1801.04381">MobileNetV2: Inverted Residuals and Linear Bottlenecks</a>.

Provides access to datasets, models and preprocessing
facilities for deep learning with images. Integrates seamlessly
with the 'torch' package and it's 'API' borrows heavily from
'PyTorch' vision package.

Daniel Falbel

torchvision

Models, Datasets and Transformations for Images

Christophe Regouby

Akanksha Koshti

Derrick Richard

 RStudio

model_mobilenet_v2 function

<dl><dt>pretrained</dt>
<dd>(bool): If TRUE, returns a model pre-trained on ImageNet.</dd>
<dt>progress</dt>
<dd>(bool): If TRUE, displays a progress bar of the download to
stderr.</dd>
<dt>...</dt>
<dd>Other parameters passed to the model implementation.</dd></dl>

Arguments

Constructs a MobileNetV2 architecture from
<a href='https://arxiv.org/abs/1801.04381'>MobileNetV2: Inverted Residuals and Linear Bottlenecks</a>.

MobileNetV2 Model — model_mobilenet_v2

<dl>

<dt>pretrained</dt>
<dd>(bool): If TRUE, returns a model pre-trained on ImageNet.</dd>


<dt>progress</dt>
<dd>(bool): If TRUE, displays a progress bar of the download to
stderr.</dd>


<dt>...</dt>
<dd>Other parameters passed to the model implementation.</dd>

</dl>

model_mobilenet_v2: MobileNetV2 Model

Description

Usage

Arguments

See Also