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new b48124c Fix link (#8102)
b48124c is described below
commit b48124c7e89022e8bc8d72fe4b9062e277f645a3
Author: reminisce <[email protected]>
AuthorDate: Fri Sep 29 10:24:10 2017 -0700
Fix link (#8102)
---
docs/how_to/add_op_in_backend.md | 3 +--
1 file changed, 1 insertion(+), 2 deletions(-)
diff --git a/docs/how_to/add_op_in_backend.md b/docs/how_to/add_op_in_backend.md
index d5d2ec3..03d7751 100644
--- a/docs/how_to/add_op_in_backend.md
+++ b/docs/how_to/add_op_in_backend.md
@@ -346,8 +346,7 @@ layer. The whole process is often known as backward
propagation. We are not
going to delineate the principle of backward propagation here since users can
find
great details covered in other resources, such as
[CS231n](http://cs231n.github.io/optimization-2/) and
-[How the backgropagation algorithm works](htt
eifjccfuukvuhebklkrfctiilickhnbvulbrthhfcljk
-p://neuralnetworksanddeeplearning.com/chap2.html).
+[How the backgropagation algorithm
works](http://neuralnetworksanddeeplearning.com/chap2.html).
The problem we are going to solve here for the `quadratic` operator is that
given a tensor representing the gradient of the loss function with respect
to the output of the operator, calculate the gradient with respect to
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