op_batch_normalization: Batch Normalization
In joeddav/CNTK-R: R Interface to the Microsoft Cognitive Toolkit (CNTK)
Description
Normalizes layer outputs for every minibatch for each output (feature)
independently and applies affine transformation to preserve representation
of the layer.
Usage
1
2
3
4
op_batch_normalization(operand, scale, bias, running_mean, running_inv_std,
spatial, normalization_time_constant = 5000, blent_time_constant = 0,
epsilon = 1e-05, use_cudnn_engine = FALSE, name = "",
running_count = NULL)
Arguments
bias
(bool) – whether to include bias
epsilon
(float, default 0.00001) - added to avoid division by 0
name
(str) the name of the Function instance in the network
running_count
joeddav/CNTK-R documentation built on May 6, 2019, 7:28 a.m.
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.
Description
Normalizes layer outputs for every minibatch for each output (feature) independently and applies affine transformation to preserve representation of the layer.
Usage
1 2 3 4 | op_batch_normalization(operand, scale, bias, running_mean, running_inv_std,
spatial, normalization_time_constant = 5000, blent_time_constant = 0,
epsilon = 1e-05, use_cudnn_engine = FALSE, name = "",
running_count = NULL)
|
Arguments
bias |
(bool) – whether to include bias |
epsilon |
(float, default 0.00001) - added to avoid division by 0 |
name |
(str) the name of the Function instance in the network |
running_count |
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.