- 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
am 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.
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KSSV
am 27 Jun. 2021
Read the documentation of TrainNetwork, you can pass the validation data to the function.
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