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how to decide to use dropout without checking learning curve?
Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 23, 2019 at 00:00UTC (8:00pm US/Eastern)
2019 Moderator Election Q&A - Questionnaire
2019 Community Moderator Election ResultsHow can I do simple machine learning without hard-coding behavior?In Weka, how to draw learning curve evaluated on both test and training set?Trend Decline Graph NormalizationCluster tendency using Hopkins statistic implementation in PythonHow to represent ROC curve when using Cross-Validationh2o, different stopping metric leads to different optimal for hyperparametersLearning rate in the Perceptron Proof and ConvergenceHow can ReLU ever fit the curve of x²?How can I calculate AUC from the ROC curve for the classification?How to use Zero-Shot Learning on text?
$begingroup$
Suppose I have been using dropout value of 0.5 as it gives me the optimal value . How can I explain to use dropout without checking learning curve?
machine-learning
asked Apr 2 at 18:49
MiteshMitesh
1011
$endgroup$
add a comment |
$begingroup$
Suppose I have been using dropout value of 0.5 as it gives me the optimal value . How can I explain to use dropout without checking learning curve?
machine-learning
asked Apr 2 at 18:49
MiteshMitesh
1011
$endgroup$
add a comment |
$begingroup$
Suppose I have been using dropout value of 0.5 as it gives me the optimal value . How can I explain to use dropout without checking learning curve?
machine-learning
asked Apr 2 at 18:49
MiteshMitesh
1011
$endgroup$
Suppose I have been using dropout value of 0.5 as it gives me the optimal value . How can I explain to use dropout without checking learning curve?
machine-learning
machine-learning
asked Apr 2 at 18:49
MiteshMitesh
1011
asked Apr 2 at 18:49
MiteshMitesh
1011
asked Apr 2 at 18:49
MiteshMitesh
1011
asked Apr 2 at 18:49
MiteshMitesh
1011
asked Apr 2 at 18:49
MiteshMitesh
1011
1011
add a comment |
add a comment |
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