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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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Backpropagation of convolutional neural network - confusion

I've already seen many articles about this topic and Backpropagation In Convolutional Neural Networks by Jefkine seems to be the best. Although, as author said, For the purposes of simplicity we …
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