From 87b43828e0a2b8905e642abc2d4df0c044c7a014 Mon Sep 17 00:00:00 2001 From: farizrahman4u Date: Sun, 19 Mar 2017 08:49:50 +0530 Subject: [PATCH] initializations -> initializers --- keras_contrib/layers/normalization.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/keras_contrib/layers/normalization.py b/keras_contrib/layers/normalization.py index 557b71c..b6853a7 100644 --- a/keras_contrib/layers/normalization.py +++ b/keras_contrib/layers/normalization.py @@ -44,11 +44,11 @@ class BatchRenormalization(Layer): `[(input_shape,), (input_shape,)]` Note that the order of this list is [gamma, beta, mean, std] beta_init: name of initialization function for shift parameter - (see [initializations](../initializations.md)), or alternatively, + (see [initializer](../initializer.md)), or alternatively, Theano/TensorFlow function to use for weights initialization. This parameter is only relevant if you don't pass a `weights` argument. gamma_init: name of initialization function for scale parameter (see - [initializations](../initializations.md)), or alternatively, + [initializer](../initializer.md)), or alternatively, Theano/TensorFlow function to use for weights initialization. This parameter is only relevant if you don't pass a `weights` argument. gamma_regularizer: instance of [WeightRegularizer](../regularizers.md) @@ -73,8 +73,8 @@ class BatchRenormalization(Layer): gamma_init='one', gamma_regularizer=None, beta_regularizer=None, **kwargs): self.supports_masking = True - self.beta_init = initializations.get(beta_init) - self.gamma_init = initializations.get(gamma_init) + self.beta_init = initializer.get(beta_init) + self.gamma_init = initializer.get(gamma_init) self.epsilon = epsilon self.mode = mode self.axis = axis