How can you use CPU with the Parallel Computing Toolbox?

I need to run a Convolutional Neural Networks code, and this requires the PCT but I don't have a NVIDIA GPU. There used to be a parameter in trainingOptions named 'ExecutionEnvironment' where you could choose 'cpu' instead of 'gpu' but it seems to be obsolete.

Is there any other way??

opts = trainingOptions('sgdm', ...
    'Momentum', 0.9, ...
    'InitialLearnRate', 0.001, ...
    'LearnRateSchedule', 'piecewise', ...
    'LearnRateDropFactor', 0.1, ...
    'LearnRateDropPeriod', 8, ...
    'L2Regularization', 0.004, ...
    'MaxEpochs', 40, ...
    'MiniBatchSize', 128, ...
    'Verbose', true);
cifar10Net = trainNetwork(X_train, Labels_train, layers, opts);

Answer 1

[mizuki]

CNN on CPU and 'ExecutionEnvironment' option are introduced in R2017a. If you are using R2016b or previous versions, you need GPU to run it or upgrade MATLAB.

[dhikra H]

hello, I use CNN on CPU with matlab 2017b and when i put parallel options in 'ExecutionEnvironment' it display an error indicat that The CUDA runtime failed to initialize correctly. This can occur with some older CUDA drivers. Thanks for help