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.
Transformer Models and BERT Model - Italiano
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Advanced level
Designed for those already in the industry
1 hour to complete
Flexible schedule
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What you'll learn
Comprendere i componenti principali dell'architettura Transformer
Scoprire come viene creato un modello BERT utilizzando i modelli Transformer
Utilizzare il modello BERT per risolvere diverse attività di elaborazione del linguaggio naturale (NLP)
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1 assignment
Taught in English
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There is 1 module in this course
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.
What's included
2 videos1 reading1 assignment
Instructor
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Recommended if you're interested in Cloud Computing
Google Cloud
Google Cloud
Coursera Project Network
Università di Napoli Federico II
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