Este curso é uma introdução à arquitetura de transformador e ao modelo de Bidirectional Encoder Representations from Transformers (BERT, na sigla em inglês). Você vai aprender sobre os principais componentes da arquitetura de transformador, como o mecanismo de autoatenção, e como eles são usados para construir o modelo de BERT. Também vai conhecer as diferentes tarefas onde é possível usar o BERT, como classificação de texto, respostas a perguntas e inferência de linguagem natural. O curso leva aproximadamente 45 minutos.
Transformer Models and BERT Model - Português Brasileiro
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Transformer Models and BERT Model - Português Brasileiro
Instructor: Google Cloud Training
Included with
Gain insight into a topic and learn the fundamentals.
Advanced level
Designed for those already in the industry
1 hour to complete
Flexible schedule
Learn at your own pace
What you'll learn
Entenda os principais componentes da arquitetura de transformador
Saiba como o modelo de BERT é criado usando transformadores
Use o BERT para concluir diferentes tarefas de processamento de linguagem natural (PLN)
Tools you'll learn
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
1 assignment
Taught in Portuguese (Brazil)
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