Reference request: initializing big neural networks with small neural networks
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I am currently trying some meta-algorithms on training neural networks. Start with a small but expressive enough network for training and after several epochs, initialize a larger neural network with the trained weight in the small neural network. It seems to me that we can gain marginal improvement in the optimization speed in terms of time.
I believe there are already lots of paper in this direction but can find any paper related possibly because I am using a wrong key word. I wonder where I can find relevant papers, thanks in advance.
machine-learning optimization
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I am currently trying some meta-algorithms on training neural networks. Start with a small but expressive enough network for training and after several epochs, initialize a larger neural network with the trained weight in the small neural network. It seems to me that we can gain marginal improvement in the optimization speed in terms of time.
I believe there are already lots of paper in this direction but can find any paper related possibly because I am using a wrong key word. I wonder where I can find relevant papers, thanks in advance.
machine-learning optimization
New contributor
$endgroup$
add a comment |
$begingroup$
I am currently trying some meta-algorithms on training neural networks. Start with a small but expressive enough network for training and after several epochs, initialize a larger neural network with the trained weight in the small neural network. It seems to me that we can gain marginal improvement in the optimization speed in terms of time.
I believe there are already lots of paper in this direction but can find any paper related possibly because I am using a wrong key word. I wonder where I can find relevant papers, thanks in advance.
machine-learning optimization
New contributor
$endgroup$
I am currently trying some meta-algorithms on training neural networks. Start with a small but expressive enough network for training and after several epochs, initialize a larger neural network with the trained weight in the small neural network. It seems to me that we can gain marginal improvement in the optimization speed in terms of time.
I believe there are already lots of paper in this direction but can find any paper related possibly because I am using a wrong key word. I wonder where I can find relevant papers, thanks in advance.
machine-learning optimization
machine-learning optimization
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New contributor
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asked 1 hour ago
Lind AxiaoLind Axiao
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Lind Axiao is a new contributor. Be nice, and check out our Code of Conduct.
Lind Axiao is a new contributor. Be nice, and check out our Code of Conduct.
Lind Axiao is a new contributor. Be nice, and check out our Code of Conduct.
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