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in AI and Deep Learning by (50.2k points)

The NeuralDataSet objects that I've seen in action haven't been anything but XOR which is just two small data arrays... I haven't been able to figure out anything from the documentation on MLDataSet.

It seems like everything must be loaded at once. However, I would like to loop through training data until I reach EOF and then count that as 1 epoch... However, everything I've seen all the data must be loaded into 1 2D array from the beginning. How can I get around this?

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by (108k points)

The first step is to generate the training data. Generating training data for one-of-n is comparatively easy. Simply assign a +1 to the neuron that corresponds to the chosen node and a -1 to the remaining neurons. Encog provides built-in classes to provide this normalization.

If you wish to know about Neural Network then visit this Neural Network Tutorial.

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