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Transformer Models and BERT Model - Español

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Transformer Models and BERT Model - Español

Instructor: Google Cloud Training

Included with

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1 module

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

1 module

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

Comprende los componentes principales de la arquitectura de transformadores
Aprende cómo se crea un modelo BERT con transformadores
Usa BERT para resolver diferentes tareas de procesamiento de lenguaje natural (PLN)

Skills you'll gain

Tools you'll learn

Classification Algorithms

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

1 assignment

Taught in Spanish

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There is 1 module in this course

En este curso, se presentan la arquitectura de transformadores y el modelo de Bidirectional Encoder Representations from Transformers (BERT). Aprenderás sobre los componentes principales de la arquitectura de transformadores, como el mecanismo de autoatención, y cómo se usa para crear el modelo BERT. También aprenderás sobre las diferentes tareas para las que puede usarse BERT, como la clasificación de texto, la respuesta de preguntas y la inferencia de lenguaje natural. Tardarás aproximadamente 45 minutos en completar este curso.

Module details

En este módulo, aprenderás sobre los componentes principales de la arquitectura de transformadores, como el mecanismo de autoatención, y cómo se usa para crear el modelo BERT. También aprenderás sobre las diferentes tareas para las que puede usarse BERT, como la clasificación de texto, la respuesta de preguntas y la inferencia de lenguaje natural.