Can I GEFORCE GTX 960M for deeplearning

Question

Negar Noorizadeh 2019-5-14

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https://ww2.mathworks.cn/matlabcentral/answers/462051-can-i-geforce-gtx-960m-for-deeplearning

回答： Shivam Sardana 2019-5-22

Dear All,

When I check my NVIDIA control panel, it shows that my laptop has GEFORCE GTX 960M GPU, I am not sure I can use it during deep learning or not?

if yes, I only need to set the 'execution environment' to GPU in training option, right?or is there any other setting that I should do?

Reagrds

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Walter Roberson 2019-5-14

Yes the Cuda 5.0 capacity is supported. Memory will be a bit tight for it. Install the latest Nvidia drivers.

Negar Noorizadeh 2019-5-14

Thanks for your response, for installing the latestes version should I use this link?

if yes, do you have any idea that what should I select for 'Windows Driver Type' (standard or DCH)and 'Download Type'(game ready driver or creator ready driver)?

https://www.nvidia.com/Download/index.aspx?lang=en-us

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Answer 1

Shivam Sardana 2019-5-22

0
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/462051-can-i-geforce-gtx-960m-for-deeplearning#answer_376085

在 MATLAB Online 中打开

Considering CUDA and cuDNN installed. To access and get information about GPU, run the following command:

GpuDevice

GPU, multi-GPU, and parallel options require Parallel Computing Toolbox. To use a GPU for deep learning, you must also have a CUDA® enabled NVIDIA® GPU with compute capability 3.0 or higher.

To use GPU for deep learning, set 'ExecutionEnvironment' in ‘trainingOptions’ as 'gpu'. By default, ‘trainingOptions’ take GPU by default.

Hope this helps.