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-rw-r--r--tensorflow/docs_src/guide/custom_estimators.md8
1 files changed, 4 insertions, 4 deletions
diff --git a/tensorflow/docs_src/guide/custom_estimators.md b/tensorflow/docs_src/guide/custom_estimators.md
index fb20b35c12..a63e2bafb3 100644
--- a/tensorflow/docs_src/guide/custom_estimators.md
+++ b/tensorflow/docs_src/guide/custom_estimators.md
@@ -362,10 +362,10 @@ model's loss. This is the
that will be optimized.
We can calculate the loss by calling @{tf.losses.sparse_softmax_cross_entropy}.
-The value returned by this function will be lowest, approximately 0,
-probability of the correct class (at index `label`) is near 1.0. The loss value
-returned is progressively larger as the probability of the correct class
-decreases.
+The value returned by this function will be approximately 0 at lowest,
+when the probability of the correct class (at index `label`) is near 1.0.
+The loss value returned is progressively larger as the probability of the
+correct class decreases.
This function returns the average over the whole batch.