Problem with graphics driver

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?