How to change number CPU core used to train deep learning?

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Lin
Lin on 10 Nov 2020
Answered: Ameer Hamza on 10 Nov 2020
How to change the Execution Environment, number CPU core used to train deep learning model?

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Accepted Answer

Ameer Hamza
Ameer Hamza on 10 Nov 2020
Are you training using trainNetwork() function? If yes, then the function accepts an input "options". You can define the option using trainingoptions(): https://www.mathworks.com/help/releases/R2020b/deeplearning/ref/trainingoptions.html function. In the trainingoptions, there is a Name-Value pair called 'ExecutionEnvironment', you can set it to 'parallel' and it will use the number of cores according to your cluster profile. I guess you will need a parallel Computing toolbox for this. Read here on how to configure the cluster profile: https://www.mathworks.com/help/parallel-computing/discover-clusters-and-use-cluster-profiles.html

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