layer_sparse_conv_2d: Sparse 2D Convolutional layer
In deepregression: Fitting Deep Distributional Regression
layer_sparse_conv_2d R Documentation
Sparse 2D Convolutional layer
Description
Sparse 2D Convolutional layer
Usage
layer_sparse_conv_2d(filters, kernel_size, lam = NULL, depth = 2, ...)
Arguments
filters
number of filters
kernel_size
size of convolutional filter
lam
regularization strength
depth
depth of weight factorization
...
arguments passed to TensorFlow layer
Value
layer object
deepregression documentation built on Sept. 9, 2025, 5:27 p.m.
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| layer_sparse_conv_2d | R Documentation |
Sparse 2D Convolutional layer
Description
Sparse 2D Convolutional layer
Usage
layer_sparse_conv_2d(filters, kernel_size, lam = NULL, depth = 2, ...)
Arguments
filters |
number of filters |
kernel_size |
size of convolutional filter |
lam |
regularization strength |
depth |
depth of weight factorization |
... |
arguments passed to TensorFlow layer |
Value
layer object
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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