Künstliches neuronales Netz

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Künstliche neuronale Netze sind statistische Modelle, die sich an der Funktionsweise des biologischen Gehirns orientieren. Sie bestehen aus miteinander verbundenen Knoten, die in mehreren Schichten angeordnet sind, wobei jeder Knoten eine Funktion enthält und jede Verbindung zwischen den Knoten mit einer Gewichtung versehen ist, die mithilfe von Deep-Learning-Algorithmen optimiert wird. Die Eingabe, die die Funktion eines Knotens über jede Verbindung erreicht, wird auf der Grundlage ihrer Gewichtung angepasst.

https://link.springer.com/content/pdf/10.1007/978-3-030-93975-5.pdf external-link

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