Validation data shall be in broken down into batches or not?Cross validation when training neural network?Prime model with mock data, good idea or not?Inconsistent validation accuracy? is that expected?Validation accuracy for neural networkValidation accuracy is always close to training accuracyComputing number of batches in one epochValidation curveIs splitting the data set into train and validation applicable in unsupervised learning?Change rate of cross validation data, after trainingHow to train non image data in batches from disk?
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Validation data shall be in broken down into batches or not?
Cross validation when training neural network?Prime model with mock data, good idea or not?Inconsistent validation accuracy? is that expected?Validation accuracy for neural networkValidation accuracy is always close to training accuracyComputing number of batches in one epochValidation curveIs splitting the data set into train and validation applicable in unsupervised learning?Change rate of cross validation data, after trainingHow to train non image data in batches from disk?
$begingroup$
I am using fit_generator to train the model. The training dataset is being read from a generator function which gives data in a constant batch size. Now I want to know what approach shall I adopt for validation data. Shall I make a generator for the validation set or load it completely into memory and use it in fit_generator?
Note: Validation dataset is fitting into memory quite easily therefore batching is an option for me.
training
asked 19 hours ago
yamini goelyamini goel
213
$endgroup$
add a comment |
$begingroup$
I am using fit_generator to train the model. The training dataset is being read from a generator function which gives data in a constant batch size. Now I want to know what approach shall I adopt for validation data. Shall I make a generator for the validation set or load it completely into memory and use it in fit_generator?
Note: Validation dataset is fitting into memory quite easily therefore batching is an option for me.
training
asked 19 hours ago
yamini goelyamini goel
213
$endgroup$
add a comment |
$begingroup$
I am using fit_generator to train the model. The training dataset is being read from a generator function which gives data in a constant batch size. Now I want to know what approach shall I adopt for validation data. Shall I make a generator for the validation set or load it completely into memory and use it in fit_generator?
Note: Validation dataset is fitting into memory quite easily therefore batching is an option for me.
training
asked 19 hours ago
yamini goelyamini goel
213
$endgroup$
I am using fit_generator to train the model. The training dataset is being read from a generator function which gives data in a constant batch size. Now I want to know what approach shall I adopt for validation data. Shall I make a generator for the validation set or load it completely into memory and use it in fit_generator?
Note: Validation dataset is fitting into memory quite easily therefore batching is an option for me.
training
training
asked 19 hours ago
yamini goelyamini goel
213
asked 19 hours ago
yamini goelyamini goel
213
asked 19 hours ago
yamini goelyamini goel
213
asked 19 hours ago
yamini goelyamini goel
213
asked 19 hours ago
yamini goelyamini goel
213
213
add a comment |
add a comment |
1 Answer
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$begingroup$
If validation batch size = 1 it has no difference in comparison with the case that load the data completely. But with any other value of batch size the evaluation metric will be an average of it in different batches; So, its real value will not be resulted.
answered 16 hours ago
Alireza ZolanvariAlireza Zolanvari
19114
$endgroup$
add a comment |
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1 Answer
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1 Answer
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$begingroup$
If validation batch size = 1 it has no difference in comparison with the case that load the data completely. But with any other value of batch size the evaluation metric will be an average of it in different batches; So, its real value will not be resulted.
answered 16 hours ago
Alireza ZolanvariAlireza Zolanvari
19114
$endgroup$
add a comment |
$begingroup$
If validation batch size = 1 it has no difference in comparison with the case that load the data completely. But with any other value of batch size the evaluation metric will be an average of it in different batches; So, its real value will not be resulted.
answered 16 hours ago
Alireza ZolanvariAlireza Zolanvari
19114
$endgroup$
add a comment |
$begingroup$
If validation batch size = 1 it has no difference in comparison with the case that load the data completely. But with any other value of batch size the evaluation metric will be an average of it in different batches; So, its real value will not be resulted.
answered 16 hours ago
Alireza ZolanvariAlireza Zolanvari
19114
$endgroup$
If validation batch size = 1 it has no difference in comparison with the case that load the data completely. But with any other value of batch size the evaluation metric will be an average of it in different batches; So, its real value will not be resulted.
answered 16 hours ago
Alireza ZolanvariAlireza Zolanvari
19114
answered 16 hours ago
Alireza ZolanvariAlireza Zolanvari
19114
answered 16 hours ago
Alireza ZolanvariAlireza Zolanvari
19114
answered 16 hours ago
Alireza ZolanvariAlireza Zolanvari
19114
19114
add a comment |
add a comment |
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