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Artificial neural networks (ANN), are composed of 'neurons' - programming constructs that mimic the properties of biological neurons. A set of weighted connections between the neurons allows information to propagate through the network to solve artificial intelligence problems without the network designer having had a model of a real system.

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Derive features from test-set?

I have a dataset of choices (between A,B and C) done by certain users, and I want to train a neural network to predict the choices. I divide in train and test sets. An instance is formed by: [UserId, …
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