MATLAB: I am making some experiments with mathlab neural network toolbox. Usually to train a neural network i give some training and test data and the net object takes care of dividing the data. However what i need to do is divide the data by theself and s

Deep Learning Toolbox

I am making some experiments with mathlab neural network toolbox. Usually to train a neural network i give some training and test data and the net object takes care of dividing the data. However what i need to do is divide the data by myself and set the training and test data explicitly in the net object. please help/

Best Answer

Use the help and doc commands on

 dividetrain
 dividerand
 divideind
 dividetint
 divideblock

Hope this helps.

Greg

Related Solutions

MATLAB: Dividing the data in neural network

The data is automatically divided with the default ratio 0.7/0.15/0.15.

This is usually good enough.

However, if you wish to change it use, for example

 net.divideParam.trainRatio = 0.34;
 net.divideParam.valRatio   = 0.33;
 net.divideParam.testRatio  = 0.33;

Hope this helps.

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: Dividing the data in neural network

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

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