Obtaining correctly gradient in neural network of output with respect to input. Is relu a bad option as the...
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My neural network is made only by two hidden fully connected units. I've obtained very good results using relu as the activation function, and only good results using softplus.
My main purpose is to obtain the gradient of the output w.r.t. the input as accurate as possible. Since relu has a step-like derivative, it's better using softplus as my activation function even if I got better predictions with relu?
Thanks for your time,
Alberto
neural-network activation-function
asked 2 hours ago
Alberto MartínAlberto Martín
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My neural network is made only by two hidden fully connected units. I've obtained very good results using relu as the activation function, and only good results using softplus.
My main purpose is to obtain the gradient of the output w.r.t. the input as accurate as possible. Since relu has a step-like derivative, it's better using softplus as my activation function even if I got better predictions with relu?
Thanks for your time,
Alberto
neural-network activation-function
asked 2 hours ago
Alberto MartínAlberto Martín
1
New contributor
Alberto Martín is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
My neural network is made only by two hidden fully connected units. I've obtained very good results using relu as the activation function, and only good results using softplus.
My main purpose is to obtain the gradient of the output w.r.t. the input as accurate as possible. Since relu has a step-like derivative, it's better using softplus as my activation function even if I got better predictions with relu?
Thanks for your time,
Alberto
neural-network activation-function
asked 2 hours ago
Alberto MartínAlberto Martín
1
New contributor
Alberto Martín is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
My neural network is made only by two hidden fully connected units. I've obtained very good results using relu as the activation function, and only good results using softplus.
My main purpose is to obtain the gradient of the output w.r.t. the input as accurate as possible. Since relu has a step-like derivative, it's better using softplus as my activation function even if I got better predictions with relu?
Thanks for your time,
Alberto
neural-network activation-function
neural-network activation-function
asked 2 hours ago
Alberto MartínAlberto Martín
1
New contributor
Alberto Martín is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 2 hours ago
Alberto MartínAlberto Martín
1
New contributor
Alberto Martín is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 2 hours ago
Alberto MartínAlberto Martín
1
New contributor
Alberto Martín is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 2 hours ago
Alberto MartínAlberto Martín
1
asked 2 hours ago
Alberto MartínAlberto Martín
1
1
New contributor
Alberto Martín is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Alberto Martín is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
Alberto Martín is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
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