MATLAB: What does best_perf, best_tperf, best_vperf signify while using the train function

deeplearningMATLABNetworkneuralshallowtoolbox

The terms best_perf, best_vperf and best_tperf are generated in the output while training the shallow neural network with the use of 'train' function. What does these terms mean?

Best Answer

The ﬁelds 'best_perf', 'best_vperf' and 'best_tperf' in the output of the 'train' function contain the performance of the network evaluated at each epoch on the Training, Validation and Test sets respectively.

best_perf: Best Training Performance

best_tperf: Best Testing Performance

best_vperf: Best Validation Performance

Related Solutions

MATLAB: How to train a feedfordward neural network with error weights

 Use the command window
 help mse
 doc mse

Hope this helps.

Thank you for formally accepting my answer

Greg

MATLAB: Does train function return neural network with the weights of last epoch or the weights of the model with the smallest loss of all epochs

You can refer to Early Stopping & Improve Shallow Neural Network Generalization and Avoid Overfitting documentation.

According to it "When the validation error increases for a specified number of iterations (net.trainParam.max_fail), the training is stopped, and the weights and biases at the minimum of the validation error are returned."

For more information on the "net.trainParam.max_fail" parameter, enter the following in command window:

help nnparam.max_fail

Best Answer

Related Solutions

MATLAB: How to train a feedfordward neural network with error weights

MATLAB: Does train function return neural network with the weights of last epoch or the weights of the model with the smallest loss of all epochs

Related Question