transition_up_block: SubpixelConvolutional Upscaling (factor = 2)
In dfalbel/densenet: Densely Connected Convolutional Networks in Keras
Description
Usage
Arguments
See Also
Description
SubpixelConvolutional Upscaling (factor = 2)
Usage
1
2
transition_up_block(ip, nb_filters, type = "upsampling",
weight_decay = 1e-04)
Arguments
ip
keras tensor
nb_filters
number of layers
type
can be 'upsampling', 'subpixel', 'deconv'. Determines type of
upsampling performed
weight_decay
weight decay factor
See Also
Other internal: conv_block,
create_dense_net, dense_block
dfalbel/densenet documentation built on May 31, 2019, 11:49 p.m.
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Description Usage Arguments See Also
Description
SubpixelConvolutional Upscaling (factor = 2)
Usage
1 2 | transition_up_block(ip, nb_filters, type = "upsampling",
weight_decay = 1e-04)
|
Arguments
ip |
keras tensor |
nb_filters |
number of layers |
type |
can be 'upsampling', 'subpixel', 'deconv'. Determines type of upsampling performed |
weight_decay |
weight decay factor |
See Also
Other internal: conv_block,
create_dense_net, dense_block
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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