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authorGravatar A. Unique TensorFlower <gardener@tensorflow.org>2016-06-30 12:10:50 -0800
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2016-06-30 13:19:20 -0700
commit533d891cf64f1ad4b8470dd31141b1b1f642bae4 (patch)
tree6df152243aca23488f8df140f05e720c1e8c294d /tensorflow/examples/udacity
parent6062f26f626555ca980c716d52c6204e17745503 (diff)
Merge changes from github.
Change: 126335170
Diffstat (limited to 'tensorflow/examples/udacity')
-rw-r--r--tensorflow/examples/udacity/2_fullyconnected.ipynb2
1 files changed, 1 insertions, 1 deletions
diff --git a/tensorflow/examples/udacity/2_fullyconnected.ipynb b/tensorflow/examples/udacity/2_fullyconnected.ipynb
index 588b581a69..2d1dfa2fba 100644
--- a/tensorflow/examples/udacity/2_fullyconnected.ipynb
+++ b/tensorflow/examples/udacity/2_fullyconnected.ipynb
@@ -258,7 +258,7 @@
" \n",
" # Variables.\n",
" # These are the parameters that we are going to be training. The weight\n",
- " # matrix will be initialized using random valued following a (truncated)\n",
+ " # matrix will be initialized using random values following a (truncated)\n",
" # normal distribution. The biases get initialized to zero.\n",
" weights = tf.Variable(\n",
" tf.truncated_normal([image_size * image_size, num_labels]))\n",