Description Usage Arguments References See Also
View source: R/batch_normalization.R
Calculates the differentials in batch normalization
1 2 | batch_normalization_differential(delta_y, mu, sigma_2, x, x_hat, y, gamma, beta,
epsilon = exp(-12), with_BN = T)
|
delta_y |
derivative wrt y |
mu |
mean of the input |
sigma_2 |
variance of the input |
x |
input |
x_hat |
normalized input |
y |
transformed input after batch normalization |
gamma |
gamma coefficient |
beta |
beta coefficient |
epsilon |
the contant added to the variance for numeric stability |
with_BN |
logical value, set to TRUE to turn on batch normalization |
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe, Christian Szegedy
http://jmlr.org/proceedings/papers/v37/ioffe15.pdf Pg 4
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