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How can you represent the X-OR problem with NN and SVM?

How can you represent the X-OR problem with NN and SVM?

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Answer #1

The goal of training neural networks (NNs) is not to learn an exact representation of the training data itself, but rather to build a statistical model of the process which generates the data.

• In practical applications of a feedforward NN, if the network is over-fit to the noise on the training data, especially for the small-number training samples case, it will memorize training data and give poor generalization.

• Controlling an appropriate complexity of the network can improve generalization.

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