From 0ce70bddc56821dbf09e7d4642f861026d858822 Mon Sep 17 00:00:00 2001 From: None Date: Fri, 2 Jun 2017 15:58:37 +0800 Subject: [PATCH] Update resnet_model.py 'elipson' should be epsilon --- resnet/resnet_model.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/resnet/resnet_model.py b/resnet/resnet_model.py index a8b7f10ca1..2be68a132b 100644 --- a/resnet/resnet_model.py +++ b/resnet/resnet_model.py @@ -185,7 +185,7 @@ def _batch_norm(self, name, x): trainable=False) tf.summary.histogram(mean.op.name, mean) tf.summary.histogram(variance.op.name, variance) - # elipson used to be 1e-5. Maybe 0.001 solves NaN problem in deeper net. + # epsilon used to be 1e-5. Maybe 0.001 solves NaN problem in deeper net. y = tf.nn.batch_normalization( x, mean, variance, beta, gamma, 0.001) y.set_shape(x.get_shape())