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.
  1. Import the train dataset and train the network ;
  2. Import the validation dataset to validate the model;
  3. import the test dataset to test the network.
  4. 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

回答(1 个)

Bharat Chandra Mukkavalli
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

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