Questo corso ti introduce all'architettura Transformer e al modello BERT (Bidirectional Encoder Representations from Transformers). Scopri i componenti principali dell'architettura Transformer, come il meccanismo di auto-attenzione, e come viene utilizzata per creare il modello BERT. Imparerai anche le diverse attività per le quali può essere utilizzato il modello BERT, come la classificazione del testo, la risposta alle domande e l'inferenza del linguaggio naturale. Si stima che il completamento di questo corso richieda circa 45 minuti.
In questo modulo scoprirai i componenti principali dell'architettura Transformer, come il meccanismo di auto-attenzione, e come viene utilizzata per costruire il modello BERT. Imparerai anche le diverse attività per le quali può essere utilizzato il modello BERT, come la classificazione del testo, la risposta alle domande e l'inferenza del linguaggio naturale.
Das ist alles enthalten
2 Videos1 Lektüre1 Aufgabe
Infos zu Modulinhalt anzeigen
2 Videos•Insgesamt 23 Minuten
Modelli Transformer e modello BERT: Panoramica•12 Minuten
Modelli Transformer e modello BERT: Procedura dettagliata del lab•12 Minuten
1 Lektüre•Insgesamt 10 Minuten
Modelli Transformer e modello BERT: Risorse del lab•10 Minuten
1 Aufgabe•Insgesamt 18 Minuten
Modelli Transformer e modello BERT: Quiz•18 Minuten
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