What is the difference between shuffle in fit_generator and shuffle in flow_from_directory? Announcing the arrival of Valued Associate #679: Cesar Manara Planned maintenance scheduled April 23, 2019 at 23:30 UTC (7:30pm US/Eastern) 2019 Moderator Election Q&A - Questionnaire 2019 Community Moderator Election ResultsWhat is the difference between data analysis and machine learning?What is the difference between Dilated Convolution and Deconvolution?What is the difference between float64 and double in TensorFlow?What is the difference between feature extraction and feature representation in deep learning?What is difference between Fully Connected layer and Bilinear layer in CNN?What is the difference between fit() and fit_generator() in Keras?K-fold cross validation when using fit_generator and flow_from_directory() in KerasWhat is the difference between using numpy array images and using images files in deep learning?what is difference between the DDQN and DQN?How to change the names of the layers of deep learning in Keras?
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What is the difference between shuffle in fit_generator and shuffle in flow_from_directory?
Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 23, 2019 at 23:30 UTC (7:30pm US/Eastern)
2019 Moderator Election Q&A - Questionnaire
2019 Community Moderator Election ResultsWhat is the difference between data analysis and machine learning?What is the difference between Dilated Convolution and Deconvolution?What is the difference between float64 and double in TensorFlow?What is the difference between feature extraction and feature representation in deep learning?What is difference between Fully Connected layer and Bilinear layer in CNN?What is the difference between fit() and fit_generator() in Keras?K-fold cross validation when using fit_generator and flow_from_directory() in KerasWhat is the difference between using numpy array images and using images files in deep learning?what is difference between the DDQN and DQN?How to change the names of the layers of deep learning in Keras?
$begingroup$
I am using Keras to create a deep learning model and I would like to know that what is the difference between shuffle argument in fit_generator() method and shuffle argument in flow_from_directory() method?
machine-learning python deep-learning keras tensorflow
edited Nov 6 '18 at 11:33
today
1054
asked Nov 6 '18 at 6:46
NoranNoran
32011
$endgroup$
add a comment |
$begingroup$
I am using Keras to create a deep learning model and I would like to know that what is the difference between shuffle argument in fit_generator() method and shuffle argument in flow_from_directory() method?
machine-learning python deep-learning keras tensorflow
edited Nov 6 '18 at 11:33
today
1054
asked Nov 6 '18 at 6:46
NoranNoran
32011
$endgroup$
add a comment |
$begingroup$
I am using Keras to create a deep learning model and I would like to know that what is the difference between shuffle argument in fit_generator() method and shuffle argument in flow_from_directory() method?
machine-learning python deep-learning keras tensorflow
edited Nov 6 '18 at 11:33
today
1054
asked Nov 6 '18 at 6:46
NoranNoran
32011
$endgroup$
I am using Keras to create a deep learning model and I would like to know that what is the difference between shuffle argument in fit_generator() method and shuffle argument in flow_from_directory() method?
machine-learning python deep-learning keras tensorflow
machine-learning python deep-learning keras tensorflow
edited Nov 6 '18 at 11:33
today
1054
asked Nov 6 '18 at 6:46
NoranNoran
32011
edited Nov 6 '18 at 11:33
today
1054
asked Nov 6 '18 at 6:46
NoranNoran
32011
edited Nov 6 '18 at 11:33
today
1054
edited Nov 6 '18 at 11:33
today
1054
edited Nov 6 '18 at 11:33
today
1054
1054
asked Nov 6 '18 at 6:46
NoranNoran
32011
asked Nov 6 '18 at 6:46
NoranNoran
32011
asked Nov 6 '18 at 6:46
NoranNoran
32011
32011
add a comment |
add a comment |
1 Answer
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$begingroup$
From fit_generator() documentation:
shuffle: Boolean. Whether to shuffle the order of the batches at the beginning of each epoch. Only used with instances of
Sequence
(keras.utils.Sequence). Has no effect whensteps_per_epochis not
None.
So if you are using a generator and set steps_per_epoch it would have no effect. In case of using a Sequence generator, it would get the batches in different order at each epoch. For example, in first epoch it might get my_seq[0] and then my_seq[1] and then my_seq[2] (and so on) and in the second epoch it might get my_seq[2] and then my_seq[0] and then my_seq[1] and so on for the next epochs (i.e. note that my_seq[i] is the i-th batch generated by the Sequence generator we have defined).
From flow_from_directory() documentation:
shuffle: Whether to shuffle the data (default:
True)
It is not clear when and how shuffling is done. So we must take a look at the source code. By doing so, we find out that flow_from_directory() method returns an instance of DirectoryIterator class which in its docstring we can see the following:
shuffle: Boolean, whether to shuffle the data between epochs.
So it would shuffle all of the data (i.e. list of all the training images to be read at each epoch) at the beginning of each epoch.
answered Nov 6 '18 at 9:38
todaytoday
1054
$endgroup$
add a comment |
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$begingroup$
From fit_generator() documentation:
shuffle: Boolean. Whether to shuffle the order of the batches at the beginning of each epoch. Only used with instances of
Sequence
(keras.utils.Sequence). Has no effect whensteps_per_epochis not
None.
So if you are using a generator and set steps_per_epoch it would have no effect. In case of using a Sequence generator, it would get the batches in different order at each epoch. For example, in first epoch it might get my_seq[0] and then my_seq[1] and then my_seq[2] (and so on) and in the second epoch it might get my_seq[2] and then my_seq[0] and then my_seq[1] and so on for the next epochs (i.e. note that my_seq[i] is the i-th batch generated by the Sequence generator we have defined).
From flow_from_directory() documentation:
shuffle: Whether to shuffle the data (default:
True)
It is not clear when and how shuffling is done. So we must take a look at the source code. By doing so, we find out that flow_from_directory() method returns an instance of DirectoryIterator class which in its docstring we can see the following:
shuffle: Boolean, whether to shuffle the data between epochs.
So it would shuffle all of the data (i.e. list of all the training images to be read at each epoch) at the beginning of each epoch.
answered Nov 6 '18 at 9:38
todaytoday
1054
$endgroup$
add a comment |
$begingroup$
From fit_generator() documentation:
shuffle: Boolean. Whether to shuffle the order of the batches at the beginning of each epoch. Only used with instances of
Sequence
(keras.utils.Sequence). Has no effect whensteps_per_epochis not
None.
So if you are using a generator and set steps_per_epoch it would have no effect. In case of using a Sequence generator, it would get the batches in different order at each epoch. For example, in first epoch it might get my_seq[0] and then my_seq[1] and then my_seq[2] (and so on) and in the second epoch it might get my_seq[2] and then my_seq[0] and then my_seq[1] and so on for the next epochs (i.e. note that my_seq[i] is the i-th batch generated by the Sequence generator we have defined).
From flow_from_directory() documentation:
shuffle: Whether to shuffle the data (default:
True)
It is not clear when and how shuffling is done. So we must take a look at the source code. By doing so, we find out that flow_from_directory() method returns an instance of DirectoryIterator class which in its docstring we can see the following:
shuffle: Boolean, whether to shuffle the data between epochs.
So it would shuffle all of the data (i.e. list of all the training images to be read at each epoch) at the beginning of each epoch.
answered Nov 6 '18 at 9:38
todaytoday
1054
$endgroup$
add a comment |
$begingroup$
From fit_generator() documentation:
shuffle: Boolean. Whether to shuffle the order of the batches at the beginning of each epoch. Only used with instances of
Sequence
(keras.utils.Sequence). Has no effect whensteps_per_epochis not
None.
So if you are using a generator and set steps_per_epoch it would have no effect. In case of using a Sequence generator, it would get the batches in different order at each epoch. For example, in first epoch it might get my_seq[0] and then my_seq[1] and then my_seq[2] (and so on) and in the second epoch it might get my_seq[2] and then my_seq[0] and then my_seq[1] and so on for the next epochs (i.e. note that my_seq[i] is the i-th batch generated by the Sequence generator we have defined).
From flow_from_directory() documentation:
shuffle: Whether to shuffle the data (default:
True)
It is not clear when and how shuffling is done. So we must take a look at the source code. By doing so, we find out that flow_from_directory() method returns an instance of DirectoryIterator class which in its docstring we can see the following:
shuffle: Boolean, whether to shuffle the data between epochs.
So it would shuffle all of the data (i.e. list of all the training images to be read at each epoch) at the beginning of each epoch.
answered Nov 6 '18 at 9:38
todaytoday
1054
$endgroup$
From fit_generator() documentation:
shuffle: Boolean. Whether to shuffle the order of the batches at the beginning of each epoch. Only used with instances of
Sequence
(keras.utils.Sequence). Has no effect whensteps_per_epochis not
None.
So if you are using a generator and set steps_per_epoch it would have no effect. In case of using a Sequence generator, it would get the batches in different order at each epoch. For example, in first epoch it might get my_seq[0] and then my_seq[1] and then my_seq[2] (and so on) and in the second epoch it might get my_seq[2] and then my_seq[0] and then my_seq[1] and so on for the next epochs (i.e. note that my_seq[i] is the i-th batch generated by the Sequence generator we have defined).
From flow_from_directory() documentation:
shuffle: Whether to shuffle the data (default:
True)
It is not clear when and how shuffling is done. So we must take a look at the source code. By doing so, we find out that flow_from_directory() method returns an instance of DirectoryIterator class which in its docstring we can see the following:
shuffle: Boolean, whether to shuffle the data between epochs.
So it would shuffle all of the data (i.e. list of all the training images to be read at each epoch) at the beginning of each epoch.
answered Nov 6 '18 at 9:38
todaytoday
1054
answered Nov 6 '18 at 9:38
todaytoday
1054
answered Nov 6 '18 at 9:38
todaytoday
1054
answered Nov 6 '18 at 9:38
todaytoday
1054
1054
add a comment |
add a comment |
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