Is GPU necessary for deep learning (CNN)

3 visualizaciones (últimos 30 días)
sourav kundu
sourav kundu el 23 de Ag. de 2018
Respondida: Kojiro Saito el 23 de Ag. de 2018
I am using [net, info] = trainNetwork(xTrain,tTrain, layers, opts);
error show: "There is a problem with the CUDA driver or with this GPU device. Be sure that you have a supported GPU and that the latest driver is installed."
Caused by: The CUDA driver could not be loaded. The library name used was 'nvcuda.dll'. The error was: The specified module could not be found.

Respuesta aceptada

Kojiro Saito
Kojiro Saito el 23 de Ag. de 2018
As Release Notes of Neural Network Toolbox R2016a says, deep learning functions including trainNetwork require Parallel Computing Toolbox and a CUDA-enabled NVIDIA GPU with compute capability 3.0 or higher. From 2017a, trainNetwork is supported in CPUs, as described in this link.

Más respuestas (0)

Categorías

Más información sobre Image Data Workflows en Help Center y File Exchange.

Etiquetas

Productos


Versión

R2016a

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by