- A training set with known ground truth values. This is used in the training process.
- A validation set with known ground truth values. This is used in the training process to decide when to quit training.
- A test set with unknown values.
could anyone help me how to validate the neural network
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I am developing neural network model to train, validate and test the network.
For training I am using net = trainNetwork(XTrain,YTrain,layers)
For testing I am using YPred = predict(net,XTest).
Before testing I need to do validation with the trained network using validation XVal.
Could anyone please help me how to do validation for the trained network before testing.
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Image Analyst
on 27 Jun 2021
You wrote your own trainNetwork() function? Well, you should know how to pass data to it then. Sorry I can't help you anymore with your custom function(s) - I prefer to use Toolbox functions rather than write my own.
Answers (1)
KSSV
on 27 Jun 2021
Read the documentation of TrainNetwork, you can pass the validation data to the function.
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