**diff options**

Diffstat (limited to 'include/caffe/layers/euclidean_loss_layer.hpp')

-rw-r--r-- | include/caffe/layers/euclidean_loss_layer.hpp | 2 |

1 files changed, 1 insertions, 1 deletions

diff --git a/include/caffe/layers/euclidean_loss_layer.hpp b/include/caffe/layers/euclidean_loss_layer.hpp index f564569..24568c5 100644 --- 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. * |