In this chapter the authors present the theory and mathematics behind artificial neural networks (ANNS) as the starting point for understanding more complex networks that will be presented in the next chapters. This chapter also includes related concepts such as activation functions, gradient descent, optimisers, initialisers, normalisation and dropout, just to list a few.
Artificial neural network / Rosso, M. P. D.; Ullo, S. L.; Sebastianelli, A.; Spiller, D.; Puglisi, E.; Biondi, F.; Orlando, D.. - (2021), pp. 63-90. [10.1049/PBTE098E_ch4].
Artificial neural network
Spiller D.Writing – Original Draft Preparation
;
2021
Abstract
In this chapter the authors present the theory and mathematics behind artificial neural networks (ANNS) as the starting point for understanding more complex networks that will be presented in the next chapters. This chapter also includes related concepts such as activation functions, gradient descent, optimisers, initialisers, normalisation and dropout, just to list a few.File allegati a questo prodotto
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