Save and sort ANN models in each epoch and sort out the one with smallest MSE
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Hi everyone.
I am trying to develop ANN models to predict a continuous target variable.
I want to randomly split my dataset and have access to each.
- Import the train dataset and train the network ;
- Import the validation dataset to validate the model;
- import the test dataset to test the network.
- Then compare it with measured values.
And also, I want to record every model generated during training, and sort out the best.
I tried youtube and google but they are not helping. Any advice or lead can help.
Note: Apologies if I fail to properly structure my question.
Thanks
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Answers (1)
Bharat Chandra Mukkavalli
on 11 Jul 2022
Hi,
Please refer to this link on how to randomly split data into train, test and validation sets: https://in.mathworks.com/matlabcentral/answers/377839-split-training-data-and-testing-data
For model training, to save the model after every epoch refer to this link: https://in.mathworks.com/matlabcentral/answers/1573523-is-it-possible-to-save-results-after-every-epoch-so-that-if-there-is-some-issue-with-power-i-can-co
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