MiniDNN
Public Member Functions | List of all members
MiniDNN::RegressionMSE Class Reference
Output Layers

#include <RegressionMSE.h>

Inheritance diagram for MiniDNN::RegressionMSE:
MiniDNN::Output

Public Member Functions

void evaluate (const Matrix &prev_layer_data, const Matrix &target)
 
const Matrix & backprop_data () const
 
Scalar loss () const
 
- Public Member Functions inherited from MiniDNN::Output
virtual void check_target_data (const Matrix &target)
 
virtual void check_target_data (const IntegerVector &target)
 
virtual void evaluate (const Matrix &prev_layer_data, const IntegerVector &target)
 

Detailed Description

Regression output layer using Mean Squared Error (MSE) criterion

Definition at line 16 of file RegressionMSE.h.

The documentation for this class was generated from the following file: