You're running out of memory because you have an enourmous model. You can solve 
the problem by reducing the size of the model.



Robert Brown, PhD
McConnell Brain Imaging Centre
Montreal Neurological Institute
Montreal, Canada
www.robbtech.com/photography/

> On Aug 16, 2016, at 3:46 PM, Станислав Кусков <[email protected]> 
> wrote:
> 
> how about "uot of memory" error? I have it for traning on GPU. On CPU i have 
> problem with RAM memory. 
> 
> i can solve it on programm, or changing hardware only?
> 
> вторник, 16 августа 2016 г., 22:36:03 UTC+3 пользователь Robb Brown написал:
>> 
>> Convolutional networks can be used to efficiently work with large images. We 
>> typically work with volumes that are 200x200x200 or so.
>> Another approach would be to use a fully connected network with lower 
>> capacity. That will often work better anyway because it will avoid some over 
>> fitting.
>> 
> 
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