densenet201
(Not recommended) DenseNet-201 convolutional neural network
densenet201
is not recommended. Use the imagePretrainedNetwork
function instead and specify the "densenet201"
model. For more information, see Version History.
Syntax
Description
DenseNet-201 is a convolutional neural network that is 201 layers deep. You can load a pretrained version of the network trained on more than a million images from the ImageNet database [1]. The pretrained network can classify images into 1000 object categories, such as keyboard, mouse, pencil, and many animals. As a result, the network has learned rich feature representations for a wide range of images. The network has an image input size of 224-by-224. For more pretrained networks in MATLAB®, see Pretrained Deep Neural Networks.
returns a DenseNet-201
network trained on the ImageNet data set.net
= densenet201
This function requires the Deep Learning Toolbox™ Model for DenseNet-201 Network support package. If this support package is not installed, then the function provides a download link.
returns a DenseNet-201 network trained on the ImageNet data set. This syntax is equivalent
to net
= densenet201('Weights','imagenet'
)net = densenet201
.
returns the untrained DenseNet-201 network architecture. The untrained model does not
require the support package. lgraph
= densenet201('Weights','none'
)
Examples
Output Arguments
References
[1] ImageNet. http://www.image-net.org.
[2] Huang, Gao, Zhuang Liu, Laurens Van Der Maaten, and Kilian Q. Weinberger. "Densely Connected Convolutional Networks." In CVPR, vol. 1, no. 2, p. 3. 2017.
Extended Capabilities
Version History
Introduced in R2018aSee Also
imagePretrainedNetwork
| dlnetwork
| trainingOptions
| trainnet
| Deep Network Designer