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Artificial neural networks (ANNs) are a broad class of computational models loosely based on biological neural networks. They encompass feedforward NNs (including "deep" NNs), convolutional NNs, recurrent NNs, etc.

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Input data normalization

Preprocessing makes the learning of the neural network much easier. Consider the classical example where we want to classify if a given picture contains a dog. In this case, no information is included …
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