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Do batch norm makes sense for regression problems?
Does Batch Normalization make sense for a ReLU activation function?Can Neural Networks be trained to smooth values / output the average?How can I improve my regression model?is Batch Norm a little bit stochastic by default?Batch norm: why the initial normalization?Can I treat text review analysis as a regression problem?How does Implicit Quantile-Regression Network (IQN) differ from QR-DQN?What should be the requirement for training data in order to obtain a good regression model using neural network?Neural Network Data Normalization SetupHow much batch effect is too much batch effect?
$begingroup$
When my network is performing regression (like DQN) it makes sense to use batchnorm in network when output of my network should vary from [0, 100000]?
one way to tackle it is to normalize output but output is used for ranking choices in RL system so scaling can lead to small numerical errors that can explode after upscaling...
regression batch-normalization
asked yesterday
questerquester
212
$endgroup$
add a comment |
$begingroup$
When my network is performing regression (like DQN) it makes sense to use batchnorm in network when output of my network should vary from [0, 100000]?
one way to tackle it is to normalize output but output is used for ranking choices in RL system so scaling can lead to small numerical errors that can explode after upscaling...
regression batch-normalization
asked yesterday
questerquester
212
$endgroup$
$begingroup$
Use boosting methods :)
$endgroup$
– Aditya
yesterday
add a comment |
$begingroup$
When my network is performing regression (like DQN) it makes sense to use batchnorm in network when output of my network should vary from [0, 100000]?
one way to tackle it is to normalize output but output is used for ranking choices in RL system so scaling can lead to small numerical errors that can explode after upscaling...
regression batch-normalization
asked yesterday
questerquester
212
$endgroup$
When my network is performing regression (like DQN) it makes sense to use batchnorm in network when output of my network should vary from [0, 100000]?
one way to tackle it is to normalize output but output is used for ranking choices in RL system so scaling can lead to small numerical errors that can explode after upscaling...
regression batch-normalization
regression batch-normalization
asked yesterday
questerquester
212
asked yesterday
questerquester
212
edited yesterday
quester
asked yesterday
questerquester
212
asked yesterday
questerquester
212
asked yesterday
questerquester
212
212
$begingroup$
Use boosting methods :)
$endgroup$
– Aditya
yesterday
add a comment |
$begingroup$
Use boosting methods :)
$endgroup$
– Aditya
yesterday
$begingroup$
Use boosting methods :)
$endgroup$
– Aditya
yesterday
$begingroup$
Use boosting methods :)
$endgroup$
– Aditya
yesterday
add a comment |
0
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$begingroup$
Use boosting methods :)
$endgroup$
– Aditya
yesterday