Yahoo! Facebook. C# Neural Network Cross Entropy Error To train a neural network you need some measure of error between computed outputs and the desired target outputs of the training data. The most common measure of error is called mean squared error. However, there are some research results that suggest using a different measure, called cross entropy error, is sometimes preferable to using mean squared error.
By James McCaffrey04/22/2014 Neural Network How-To: Code an Evolutionary Optimization Solution. C#
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