nnf_mse_loss: Mse_loss
In torch: Tensors and Neural Networks with 'GPU' Acceleration
nnf_mse_loss R Documentation
Mse_loss
Description
Measures the element-wise mean squared error.
Usage
nnf_mse_loss(input, target, reduction = "mean")
Arguments
input
tensor (N,*) where ** means, any number of additional dimensions
target
tensor (N,*) , same shape as the input
reduction
(string, optional) – Specifies the reduction to apply to the
output: 'none' | 'mean' | 'sum'. 'none': no reduction will be applied, 'mean':
the sum of the output will be divided by the number of elements in the output,
'sum': the output will be summed. Default: 'mean'
torch documentation built on May 29, 2024, 9:54 a.m.
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| nnf_mse_loss | R Documentation |
Mse_loss
Description
Measures the element-wise mean squared error.
Usage
nnf_mse_loss(input, target, reduction = "mean")
Arguments
input |
tensor (N,*) where ** means, any number of additional dimensions |
target |
tensor (N,*) , same shape as the input |
reduction |
(string, optional) – Specifies the reduction to apply to the output: 'none' | 'mean' | 'sum'. 'none': no reduction will be applied, 'mean': the sum of the output will be divided by the number of elements in the output, 'sum': the output will be summed. Default: 'mean' |
R Package Documentation
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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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