nn_init_xavier_uniform_: Xavier uniform initialization
In torch: Tensors and Neural Networks with 'GPU' Acceleration
nn_init_xavier_uniform_ R Documentation
Xavier uniform initialization
Description
Fills the input Tensor with values according to the method
described in â Understanding the difficulty of training deep feedforward neural networksâ - Glorot, X. & Bengio, Y. (2010), using a uniform
distribution.
Usage
nn_init_xavier_uniform_(tensor, gain = 1)
Arguments
tensor
an n-dimensional Tensor
gain
an optional scaling factor
Examples
if (torch_is_installed()) {
w <- torch_empty(3, 5)
nn_init_xavier_uniform_(w)
}
torch documentation built on May 29, 2024, 9:54 a.m.
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| nn_init_xavier_uniform_ | R Documentation |
Xavier uniform initialization
Description
Fills the input Tensor with values according to the method
described in â Understanding the difficulty of training deep feedforward neural networksâ - Glorot, X. & Bengio, Y. (2010), using a uniform
distribution.
Usage
nn_init_xavier_uniform_(tensor, gain = 1)
Arguments
tensor |
an n-dimensional |
gain |
an optional scaling factor |
Examples
if (torch_is_installed()) {
w <- torch_empty(3, 5)
nn_init_xavier_uniform_(w)
}
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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