NN with gradient approximations instead of backpropagation
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I've built an NN in matlab using fminunc as my optimizer for my cost function. This optimizer has the ability to approximate gradients such that the user doesn't need to supply gradients (unlike fmincg). Right now, I'm using this gradient approximation option instead of implementing backpropagation to compute gradients. I haven't heard of anyone using this method before (backpropagation seems to be a staple of every standard NN I've seen), but I'm getting decent results.
I'm wondering how valid what I've done is, and if there is some benefit to me implementing backpropagation?
machine-learning neural-network backpropagation
asked 2 days ago
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I've built an NN in matlab using fminunc as my optimizer for my cost function. This optimizer has the ability to approximate gradients such that the user doesn't need to supply gradients (unlike fmincg). Right now, I'm using this gradient approximation option instead of implementing backpropagation to compute gradients. I haven't heard of anyone using this method before (backpropagation seems to be a staple of every standard NN I've seen), but I'm getting decent results.
I'm wondering how valid what I've done is, and if there is some benefit to me implementing backpropagation?
machine-learning neural-network backpropagation
asked 2 days ago
LVPStackLVPStack
1
New contributor
LVPStack 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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add a comment |
$begingroup$
I've built an NN in matlab using fminunc as my optimizer for my cost function. This optimizer has the ability to approximate gradients such that the user doesn't need to supply gradients (unlike fmincg). Right now, I'm using this gradient approximation option instead of implementing backpropagation to compute gradients. I haven't heard of anyone using this method before (backpropagation seems to be a staple of every standard NN I've seen), but I'm getting decent results.
I'm wondering how valid what I've done is, and if there is some benefit to me implementing backpropagation?
machine-learning neural-network backpropagation
asked 2 days ago
LVPStackLVPStack
1
New contributor
LVPStack is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
I've built an NN in matlab using fminunc as my optimizer for my cost function. This optimizer has the ability to approximate gradients such that the user doesn't need to supply gradients (unlike fmincg). Right now, I'm using this gradient approximation option instead of implementing backpropagation to compute gradients. I haven't heard of anyone using this method before (backpropagation seems to be a staple of every standard NN I've seen), but I'm getting decent results.
I'm wondering how valid what I've done is, and if there is some benefit to me implementing backpropagation?
machine-learning neural-network backpropagation
machine-learning neural-network backpropagation
asked 2 days ago
LVPStackLVPStack
1
New contributor
LVPStack is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 2 days ago
LVPStackLVPStack
1
New contributor
LVPStack is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 2 days ago
LVPStackLVPStack
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LVPStack is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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asked 2 days ago
LVPStackLVPStack
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asked 2 days ago
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LVPStack is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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LVPStack is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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