mse_loss¶
-
paddle.fluid.layers.
mse_loss
(input, label)[source] This op accepts input predications and target label and returns the mean square error.
The loss can be described as:
\[Out = MEAN((input - label)^2)\]- Parameters
input (Variable) – Input tensor, the data type should be float32.
label (Variable) – Label tensor, the data type should be float32.
- Returns
The tensor variable storing the mean square error difference of input and label.
- Return type
Variable
Return type: Variable.
Examples