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-rw-r--r--tensorflow/core/kernels/hinge-loss.h2
1 files changed, 1 insertions, 1 deletions
diff --git a/tensorflow/core/kernels/hinge-loss.h b/tensorflow/core/kernels/hinge-loss.h
index 36b02fcc5d..789a7ce7a3 100644
--- a/tensorflow/core/kernels/hinge-loss.h
+++ b/tensorflow/core/kernels/hinge-loss.h
@@ -44,7 +44,7 @@ class HingeLossUpdater : public DualLossUpdater {
const double current_dual, const double wx,
const double weighted_example_norm) const final {
// Intutitvely there are 3 cases:
- // a. new optimal value of the dual variable falls withing the admissible
+ // a. new optimal value of the dual variable falls within the admissible
// range [0, 1]. In this case we set new dual to this value.
// b. new optimal value is < 0. Then, because of convexity, the optimal
// valid value for new dual = 0