Hi Osman,
Jupyter itself doesn't place any limits on the amount of memory available.
You're either running into the limitations of the hardware, an operating
system limit an administrator has imposed, or if you've installed a 32-bit
version of Python, you might be limited to ~4GB of memory in one process.
You can check the latter like this:
import sys
if sys.maxsize > 2**32:
print('64-bit')
else:
print('32-bit')
Thomas
On 9 May 2017 at 18:01, Osman Ali <[email protected]> wrote:
> Hi All,
>
> I have python deep learning program that stuck for long without showing
> the output when I increase the training data size. It show that it is
> running the kernel without returning the output and the problem cause by
> the memory usage by Jupyter notebook. Please, would you mind I am wondering
> how can I increase the memory of the Jupyter notebook.
>
> Thank you very much.
>
> Best regards,
> Osman
>
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