Merge pull request BVLC#5598 from ZoroDerVonCodier/patch-1

Noiredd · web-flow · commit 87e151281d85 · 2018-02-06T08:46:25.000+01:00
Update euclidean_loss_layer.hpp with corrected reference in comment
diff --git a/include/caffe/layers/euclidean_loss_layer.hpp b/include/caffe/layers/euclidean_loss_layer.hpp
@@ -30,7 +30,7 @@ namespace caffe {
  * This can be used for least-squares regression tasks.  An InnerProductLayer
  * input to a EuclideanLossLayer exactly formulates a linear least squares
  * regression problem. With non-zero weight decay the problem becomes one of
- * ridge regression -- see src/caffe/test/test_sgd_solver.cpp for a concrete
+ * ridge regression -- see src/caffe/test/test_gradient_based_solver.cpp for a concrete
  * example wherein we check that the gradients computed for a Net with exactly
  * this structure match hand-computed gradient formulas for ridge regression.
  *

Original file line number	Diff line number	Diff line change
`@@ -30,7 +30,7 @@ namespace caffe {`
`30`	`30`	`* This can be used for least-squares regression tasks. An InnerProductLayer`
`31`	`31`	`* input to a EuclideanLossLayer exactly formulates a linear least squares`
`32`	`32`	`* regression problem. With non-zero weight decay the problem becomes one of`
`33`		`- * ridge regression -- see src/caffe/test/test_sgd_solver.cpp for a concrete`
	`33`	`+ * ridge regression -- see src/caffe/test/test_gradient_based_solver.cpp for a concrete`
`34`	`34`	`* example wherein we check that the gradients computed for a Net with exactly`
`35`	`35`	`* this structure match hand-computed gradient formulas for ridge regression.`
`36`	`36`	`*`