How to set a newtowrk with two objectives?
$begingroup$
Suppose I have a x_train
, y1_train
and y2_train
.
I want to construct a network (such as simple MLP) to fit y1_train
and to be low correlated with y2_train
(or to fit -y2_train
) simultaneously.
How could I achieve this goal? Is the custom loss function a good solution?
I use keras as my tool.
Thanks a lot!
machine-learning keras
New contributor
$endgroup$
add a comment |
$begingroup$
Suppose I have a x_train
, y1_train
and y2_train
.
I want to construct a network (such as simple MLP) to fit y1_train
and to be low correlated with y2_train
(or to fit -y2_train
) simultaneously.
How could I achieve this goal? Is the custom loss function a good solution?
I use keras as my tool.
Thanks a lot!
machine-learning keras
New contributor
$endgroup$
add a comment |
$begingroup$
Suppose I have a x_train
, y1_train
and y2_train
.
I want to construct a network (such as simple MLP) to fit y1_train
and to be low correlated with y2_train
(or to fit -y2_train
) simultaneously.
How could I achieve this goal? Is the custom loss function a good solution?
I use keras as my tool.
Thanks a lot!
machine-learning keras
New contributor
$endgroup$
Suppose I have a x_train
, y1_train
and y2_train
.
I want to construct a network (such as simple MLP) to fit y1_train
and to be low correlated with y2_train
(or to fit -y2_train
) simultaneously.
How could I achieve this goal? Is the custom loss function a good solution?
I use keras as my tool.
Thanks a lot!
machine-learning keras
machine-learning keras
New contributor
New contributor
New contributor
asked 35 mins ago
LiuHaoLiuHao
1
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LiuHao is a new contributor. Be nice, and check out our Code of Conduct.
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