Why is it necessary in batch normalization to multiply and add a parameter to the result?
$begingroup$
How do we decide on which layer we want to add batch normalization. So if we have chosen a layer to apply batch norm to then why don't just normalize it why are we multiplying and scaling it by some value. What does multiplication and scaling does?
neural-network deep-learning normalization feature-scaling batch-normalization
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$endgroup$
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$begingroup$
How do we decide on which layer we want to add batch normalization. So if we have chosen a layer to apply batch norm to then why don't just normalize it why are we multiplying and scaling it by some value. What does multiplication and scaling does?
neural-network deep-learning normalization feature-scaling batch-normalization
New contributor
$endgroup$
add a comment |
$begingroup$
How do we decide on which layer we want to add batch normalization. So if we have chosen a layer to apply batch norm to then why don't just normalize it why are we multiplying and scaling it by some value. What does multiplication and scaling does?
neural-network deep-learning normalization feature-scaling batch-normalization
New contributor
$endgroup$
How do we decide on which layer we want to add batch normalization. So if we have chosen a layer to apply batch norm to then why don't just normalize it why are we multiplying and scaling it by some value. What does multiplication and scaling does?
neural-network deep-learning normalization feature-scaling batch-normalization
neural-network deep-learning normalization feature-scaling batch-normalization
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New contributor
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asked 5 mins ago
Poddar HimanshuPoddar Himanshu
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Poddar Himanshu is a new contributor. Be nice, and check out our Code of Conduct.
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