model_alexnet

AlexNet model architecture from the
<a href="https://arxiv.org/abs/1404.5997">One weird trick...</a> paper.

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_alexnet 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 intializer. currently only
<code>num_classes</code> is used.</dd></dl>

Arguments

AlexNet model architecture from the
<a href='https://arxiv.org/abs/1404.5997'>One weird trick...</a> paper.

AlexNet Model Architecture — model_alexnet

<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 intializer. currently only
<code>num_classes</code> is used.</dd>

</dl>

model_alexnet: AlexNet Model Architecture

Description

Usage

Arguments

See Also