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

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

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Ameer Hamza
Ameer Hamza le 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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