How to reload cell in jupyter notebook? After OSError: [Errno 12] Cannot allocate memory 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 ResultsHow to export one cell of a jupyter notebook?Why Tensorflow does NOT quit when CUDA_ERROR_OUT_OF_MEMORYShare Jupyter Notebook with a non programmerDeep learning with Tensorflow: training with big data setsJupyter notebook running very slowProblem importing CNTK in Azure jupyter notebookChange priority of cell execution in jupyter notebook?Integrating google cloud with jupyter notebookError with Jupyter Notebook and Google CloudCan I continue a machine learning process after shutdown?
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How to reload cell in jupyter notebook? After OSError: [Errno 12] Cannot allocate memory
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 ResultsHow to export one cell of a jupyter notebook?Why Tensorflow does NOT quit when CUDA_ERROR_OUT_OF_MEMORYShare Jupyter Notebook with a non programmerDeep learning with Tensorflow: training with big data setsJupyter notebook running very slowProblem importing CNTK in Azure jupyter notebookChange priority of cell execution in jupyter notebook?Integrating google cloud with jupyter notebookError with Jupyter Notebook and Google CloudCan I continue a machine learning process after shutdown?
$begingroup$
I got an error:OSError: [Errno 12] Cannot allocate memory
I deleted some files. And I have free memory. I don't want start learning again from first epoch. (I got an error in last epoch).
I use jupyter notebook.
I have 19 .h5 file in my output file.
Can I click something to save my last .h5 file?
Edit: 
deep-learning jupyter
asked Apr 3 at 15:56
BadumBadum
537
$endgroup$
|
show 7 more comments
$begingroup$
I got an error:OSError: [Errno 12] Cannot allocate memory
I deleted some files. And I have free memory. I don't want start learning again from first epoch. (I got an error in last epoch).
I use jupyter notebook.
I have 19 .h5 file in my output file.
Can I click something to save my last .h5 file?
Edit:
deep-learning jupyter
asked Apr 3 at 15:56
BadumBadum
537
$endgroup$
$begingroup$
Are you using tensorflow?
$endgroup$
– Vaalizaadeh
Apr 3 at 15:58
$begingroup$
Yes. I use tensorflow.
$endgroup$
– Badum
Apr 3 at 15:59
$begingroup$
If you are using tensorflow and your kernel is still alive you can just resume the training because the variables hold what they've learnt until now. The current snapshot of your graph, you can be stored it.
$endgroup$
– Vaalizaadeh
Apr 3 at 16:00
$begingroup$
Yes. My kernel is alive. How can I resume the training?
$endgroup$
– Badum
Apr 3 at 16:01
$begingroup$
just run the sess.run cell. Your current values are still available.
$endgroup$
– Vaalizaadeh
Apr 3 at 16:01
|
show 7 more comments
$begingroup$
I got an error:OSError: [Errno 12] Cannot allocate memory
I deleted some files. And I have free memory. I don't want start learning again from first epoch. (I got an error in last epoch).
I use jupyter notebook.
I have 19 .h5 file in my output file.
Can I click something to save my last .h5 file?
Edit:
deep-learning jupyter
asked Apr 3 at 15:56
BadumBadum
537
$endgroup$
I got an error:OSError: [Errno 12] Cannot allocate memory
I deleted some files. And I have free memory. I don't want start learning again from first epoch. (I got an error in last epoch).
I use jupyter notebook.
I have 19 .h5 file in my output file.
Can I click something to save my last .h5 file?
Edit:
deep-learning jupyter
deep-learning jupyter
asked Apr 3 at 15:56
BadumBadum
537
asked Apr 3 at 15:56
BadumBadum
537
edited Apr 3 at 16:18
Badum
asked Apr 3 at 15:56
BadumBadum
537
asked Apr 3 at 15:56
BadumBadum
537
asked Apr 3 at 15:56
BadumBadum
537
537
$begingroup$
Are you using tensorflow?
$endgroup$
– Vaalizaadeh
Apr 3 at 15:58
$begingroup$
Yes. I use tensorflow.
$endgroup$
– Badum
Apr 3 at 15:59
$begingroup$
If you are using tensorflow and your kernel is still alive you can just resume the training because the variables hold what they've learnt until now. The current snapshot of your graph, you can be stored it.
$endgroup$
– Vaalizaadeh
Apr 3 at 16:00
$begingroup$
Yes. My kernel is alive. How can I resume the training?
$endgroup$
– Badum
Apr 3 at 16:01
$begingroup$
just run the sess.run cell. Your current values are still available.
$endgroup$
– Vaalizaadeh
Apr 3 at 16:01
|
show 7 more comments
$begingroup$
Are you using tensorflow?
$endgroup$
– Vaalizaadeh
Apr 3 at 15:58
$begingroup$
Yes. I use tensorflow.
$endgroup$
– Badum
Apr 3 at 15:59
$begingroup$
If you are using tensorflow and your kernel is still alive you can just resume the training because the variables hold what they've learnt until now. The current snapshot of your graph, you can be stored it.
$endgroup$
– Vaalizaadeh
Apr 3 at 16:00
$begingroup$
Yes. My kernel is alive. How can I resume the training?
$endgroup$
– Badum
Apr 3 at 16:01
$begingroup$
just run the sess.run cell. Your current values are still available.
$endgroup$
– Vaalizaadeh
Apr 3 at 16:01
$begingroup$
Are you using tensorflow?
$endgroup$
– Vaalizaadeh
Apr 3 at 15:58
$begingroup$
Are you using tensorflow?
$endgroup$
– Vaalizaadeh
Apr 3 at 15:58
$begingroup$
Yes. I use tensorflow.
$endgroup$
– Badum
Apr 3 at 15:59
$begingroup$
Yes. I use tensorflow.
$endgroup$
– Badum
Apr 3 at 15:59
$begingroup$
If you are using tensorflow and your kernel is still alive you can just resume the training because the variables hold what they've learnt until now. The current snapshot of your graph, you can be stored it.
$endgroup$
– Vaalizaadeh
Apr 3 at 16:00
$begingroup$
If you are using tensorflow and your kernel is still alive you can just resume the training because the variables hold what they've learnt until now. The current snapshot of your graph, you can be stored it.
$endgroup$
– Vaalizaadeh
Apr 3 at 16:00
$begingroup$
Yes. My kernel is alive. How can I resume the training?
$endgroup$
– Badum
Apr 3 at 16:01
$begingroup$
Yes. My kernel is alive. How can I resume the training?
$endgroup$
– Badum
Apr 3 at 16:01
$begingroup$
just run the sess.run cell. Your current values are still available.
$endgroup$
– Vaalizaadeh
Apr 3 at 16:01
$begingroup$
just run the sess.run cell. Your current values are still available.
$endgroup$
– Vaalizaadeh
Apr 3 at 16:01
|
show 7 more comments
0
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$begingroup$
Are you using tensorflow?
$endgroup$
– Vaalizaadeh
Apr 3 at 15:58
$begingroup$
Yes. I use tensorflow.
$endgroup$
– Badum
Apr 3 at 15:59
$begingroup$
If you are using tensorflow and your kernel is still alive you can just resume the training because the variables hold what they've learnt until now. The current snapshot of your graph, you can be stored it.
$endgroup$
– Vaalizaadeh
Apr 3 at 16:00
$begingroup$
Yes. My kernel is alive. How can I resume the training?
$endgroup$
– Badum
Apr 3 at 16:01
$begingroup$
just run the sess.run cell. Your current values are still available.
$endgroup$
– Vaalizaadeh
Apr 3 at 16:01