Benefits of using Deep Learning-specific hyperparameter optimization tools vs. sklearn? Announcing the arrival of Valued Associate #679: Cesar Manara Planned maintenance scheduled April 23, 2019 at 23:30 UTC (7:30 pm US/Eastern) 2019 Moderator Election Q&A - Questionnaire 2019 Community Moderator Election ResultsHyperparameter search for LSTM-RNN using Keras (Python)Future of deep learning (compared to traditional machine learning)Experimental design - hyperparameter optimizationMOOC or book on Deep Learning in Python for someone with a basic knowledge of neural networksIs there any good alternative for Keras library?Is there any alternative to L-BFGS-B algorithm for hyperparameter optimization in Scikit learn?Hyperparameter Optimization for a Machine Learning AlgorithmIs it necessary to tune the step size, when using Adam?Using deep learning to classify similar imagesWhat is the most efficient method for hyperparameter optimization in scikit-learn?
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Benefits of using Deep Learning-specific hyperparameter optimization tools vs. sklearn?
Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 23, 2019 at 23:30 UTC (7:30 pm US/Eastern)
2019 Moderator Election Q&A - Questionnaire
2019 Community Moderator Election ResultsHyperparameter search for LSTM-RNN using Keras (Python)Future of deep learning (compared to traditional machine learning)Experimental design - hyperparameter optimizationMOOC or book on Deep Learning in Python for someone with a basic knowledge of neural networksIs there any good alternative for Keras library?Is there any alternative to L-BFGS-B algorithm for hyperparameter optimization in Scikit learn?Hyperparameter Optimization for a Machine Learning AlgorithmIs it necessary to tune the step size, when using Adam?Using deep learning to classify similar imagesWhat is the most efficient method for hyperparameter optimization in scikit-learn?
$begingroup$
There are quite a few library for hyperparameter optimization that are specific to Keras or other Deep Learning libraries, like Hyperas or Talos.
My question is, what's the main benefit of using these libraries compared to, for example, sklearn.model_selection.GridSearchCV() or sklearn.model_selection.RandomizedSearchCV?
python deep-learning keras hyperparameter hyperparameter-tuning
asked Jul 22 '18 at 7:12
Edgar DerbyEdgar Derby
1163
$endgroup$
bumped to the homepage by Community♦ 2 hours ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
add a comment |
$begingroup$
There are quite a few library for hyperparameter optimization that are specific to Keras or other Deep Learning libraries, like Hyperas or Talos.
My question is, what's the main benefit of using these libraries compared to, for example, sklearn.model_selection.GridSearchCV() or sklearn.model_selection.RandomizedSearchCV?
python deep-learning keras hyperparameter hyperparameter-tuning
asked Jul 22 '18 at 7:12
Edgar DerbyEdgar Derby
1163
$endgroup$
bumped to the homepage by Community♦ 2 hours ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
add a comment |
$begingroup$
There are quite a few library for hyperparameter optimization that are specific to Keras or other Deep Learning libraries, like Hyperas or Talos.
My question is, what's the main benefit of using these libraries compared to, for example, sklearn.model_selection.GridSearchCV() or sklearn.model_selection.RandomizedSearchCV?
python deep-learning keras hyperparameter hyperparameter-tuning
asked Jul 22 '18 at 7:12
Edgar DerbyEdgar Derby
1163
$endgroup$
There are quite a few library for hyperparameter optimization that are specific to Keras or other Deep Learning libraries, like Hyperas or Talos.
My question is, what's the main benefit of using these libraries compared to, for example, sklearn.model_selection.GridSearchCV() or sklearn.model_selection.RandomizedSearchCV?
python deep-learning keras hyperparameter hyperparameter-tuning
python deep-learning keras hyperparameter hyperparameter-tuning
asked Jul 22 '18 at 7:12
Edgar DerbyEdgar Derby
1163
asked Jul 22 '18 at 7:12
Edgar DerbyEdgar Derby
1163
asked Jul 22 '18 at 7:12
Edgar DerbyEdgar Derby
1163
asked Jul 22 '18 at 7:12
Edgar DerbyEdgar Derby
1163
asked Jul 22 '18 at 7:12
Edgar DerbyEdgar Derby
1163
1163
bumped to the homepage by Community♦ 2 hours ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
bumped to the homepage by Community♦ 2 hours ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
add a comment |
add a comment |
1 Answer
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$begingroup$
In my case with hyperas I noticed one of the distinct advantage over gridsearch, that is, gridsearch function takes only one array as input. My requirement was two be able to send two array as input as I am working with siamese network. I could do it with hyperas out of the box. So hyperas is more flexible than gridsearchcv. Check this example
answered Aug 25 '18 at 10:56
HaramozHaramoz
15018
$endgroup$
add a comment |
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1 Answer
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$begingroup$
In my case with hyperas I noticed one of the distinct advantage over gridsearch, that is, gridsearch function takes only one array as input. My requirement was two be able to send two array as input as I am working with siamese network. I could do it with hyperas out of the box. So hyperas is more flexible than gridsearchcv. Check this example
answered Aug 25 '18 at 10:56
HaramozHaramoz
15018
$endgroup$
add a comment |
$begingroup$
In my case with hyperas I noticed one of the distinct advantage over gridsearch, that is, gridsearch function takes only one array as input. My requirement was two be able to send two array as input as I am working with siamese network. I could do it with hyperas out of the box. So hyperas is more flexible than gridsearchcv. Check this example
answered Aug 25 '18 at 10:56
HaramozHaramoz
15018
$endgroup$
add a comment |
$begingroup$
In my case with hyperas I noticed one of the distinct advantage over gridsearch, that is, gridsearch function takes only one array as input. My requirement was two be able to send two array as input as I am working with siamese network. I could do it with hyperas out of the box. So hyperas is more flexible than gridsearchcv. Check this example
answered Aug 25 '18 at 10:56
HaramozHaramoz
15018
$endgroup$
In my case with hyperas I noticed one of the distinct advantage over gridsearch, that is, gridsearch function takes only one array as input. My requirement was two be able to send two array as input as I am working with siamese network. I could do it with hyperas out of the box. So hyperas is more flexible than gridsearchcv. Check this example
answered Aug 25 '18 at 10:56
HaramozHaramoz
15018
answered Aug 25 '18 at 10:56
HaramozHaramoz
15018
answered Aug 25 '18 at 10:56
HaramozHaramoz
15018
answered Aug 25 '18 at 10:56
HaramozHaramoz
15018
15018
add a comment |
add a comment |
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