Problem with graphics driver

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Philip Kanjirathingal Kurian
编辑： Philip Kanjirathingal Kurian 2019-2-20
Define Layers
Training from scratch gives you a lot of freedom to explore the architecture. Take a look at this architecture and see how you might want to alter it: for example, how would you add another convolutional layer?
varSize = 32;
conv1 = convolution2dLayer(5,varSize,'Padding',2,'BiasLearnRateFactor',2);
conv1.Weights = gpuArray(single(randn([5 5 3 varSize])*0.0001));
fc1 = fullyConnectedLayer(64,'BiasLearnRateFactor',2);
fc1.Weights = gpuArray(single(randn([64 576])*0.1));
fc2 = fullyConnectedLayer(4,'BiasLearnRateFactor',2);
fc2.Weights = gpuArray(single(randn([4 64])*0.1));
layers = [
imageInputLayer([varSize varSize 3]);
conv1;
maxPooling2dLayer(3,'Stride',2);
reluLayer();
convolution2dLayer(5,32,'Padding',2,'BiasLearnRateFactor',2);
reluLayer();
averagePooling2dLayer(3,'Stride',2);
convolution2dLayer(5,64,'Padding',2,'BiasLearnRateFactor',2);
reluLayer();
averagePooling2dLayer(3,'Stride',2);
fc1;
reluLayer();
fc2;
softmaxLayer()
classificationLayer()];
I was running the example of Deeplearning for Demo_TrainingFromScratch file.
While running this code, it shows an error in the third line of the code that, there is a problem with graphics driver or with this GPU device.
I have a grpahic card of NVIDIA NVS300. How can i solve this problem?

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