In figura A.1 viene mostrata una tabella riassuntiva dell’intera rete; vengono omesse le due reti ausiliarie di GoogLeNet, contenenti i due ulteriori output layer.
Le figure A.2, A.3, A.4, A.5, A.6 mostrano invece l’intera architettura della rete. Si noti che la parte iniziale della rete non possiede più layer in parallelo, bensì rappresenta un classico approccio di tutte le CNN viste finora. A partire dal primo inception layer aumenta anche la larghezza della rete.
Figura A.5: Architettura GoogLeNet (parte 4/5)
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Vorrei ringraziare innanzitutto il Prof.Carlo Fantozzi per avermi sempre se-guito, ascoltato e consigliato nell’arco dell’intero svolgimento di questa tesi, dedicandomi molto del suo tempo e fornendomi anche molto materiale utile in vari punti della tesi.
Ringrazio poi la mia famiglia e ai miei parenti (un saluto speciale al nonno) per avermi sostenuto nel corso di tutti questi anni di studio e per avermi sempre fornito un consiglio nei momenti di bisogno.
Ringrazio tutti i miei compagni di studio, incontrati nell’arco del mio percorso universitario, per tutti i bei momenti passati assieme.
Un ringraziamento è d’obbligo anche ad i miei amici, per tutte le sere che hanno sopportato i miei racconti nel corso di questo lavoro.