This course, Transformer Models and BERT Model - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Transformer Models and BERT Model. This course introduces you to the Transformer architecture and the Bidirectional Encoder Representations from Transformers (BERT) model. You learn about the main components of the Transformer architecture, such as the self-attention mechanism, and how it is used to build the BERT model. You also learn about the different tasks that BERT can be used for, such as text classification, question answering, and natural language inference. This course is estimated to take approximately 45 minutes to complete.
Transformer Models and BERT Model - Locales
Google via Google Cloud Skills Boost
This course may be unavailable.
Overview
Syllabus
- Transformer Models and BERT Model: Overview
- Transformer Models and BERT Model: Overview
- Transformer Models and BERT Model: Lab Walkthrough
- Transformer Models and BERT Model: Quiz
- Transformer Models and BERT Model: Lab Resources
