MLask 1.0.0
A custom c++ deep learning library
Loading...
Searching...
No Matches
MeanSquared.hpp
Go to the documentation of this file.
1#pragma once
2#include "types.hpp"
3
4namespace mlask{
5
8 float_t operator()(float_t result, float_t expected)const{
9 return 0.5 * (expected - result) * (expected - result);
10 }
11};
12
15 float_t operator()(float_t result, float_t expected)const{
16 return result - expected;
17 }
18};
19}
Definition LeakyRelu.hpp:4
float float_t
Definition types.hpp:12
Derived Mean Squared Error Function.
Definition MeanSquared.hpp:14
float_t operator()(float_t result, float_t expected) const
Definition MeanSquared.hpp:15
Mean Squared Error Function.
Definition MeanSquared.hpp:7
float_t operator()(float_t result, float_t expected) const
Definition MeanSquared.hpp:8