EuclideanLoss¶
- class
dragon.vm.caffe.core.layers.
EuclideanLoss
(layer_param)[source]¶ Compute the element-wise squared error.
The
EuclideanLoss
function is defined as:\[\text{L2Loss}(x, y) = 0.5(x - y)^{2} \]Examples:
layer { type: "EuclideanLoss" bottom: "bbox_pred" bottom: "bbox_target" top: "bbox_loss" loss_param { normalization: BATCH_SIZE } }