This thesis describes how neural networks operate from the mathematical perspective, having in mind that the success of the neural networks methods should not be determined by trial-and-error or luck, but by a clear mathematical analysis. The main goal of the present work is to write the ideas and concepts of neural networks, which are used nowadays at an intuitive level, into a precise modern mathematical language.
Deep leLarning, un Approccio Matematicp
BOVÌ, GABRIELE
2020/2021
Abstract
This thesis describes how neural networks operate from the mathematical perspective, having in mind that the success of the neural networks methods should not be determined by trial-and-error or luck, but by a clear mathematical analysis. The main goal of the present work is to write the ideas and concepts of neural networks, which are used nowadays at an intuitive level, into a precise modern mathematical language.File in questo prodotto:
| File | Dimensione | Formato | |
|---|---|---|---|
|
844399_deeplearningamathematicaapproach.pdf
non disponibili
Tipologia:
Altro materiale allegato
Dimensione
1.54 MB
Formato
Adobe PDF
|
1.54 MB | Adobe PDF |
I documenti in UNITESI sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
Utilizza questo identificativo per citare o creare un link a questo documento:
https://hdl.handle.net/20.500.14240/67803