- Course
Transformer Models and BERT Model
This course introduces you to the Transformer architecture and the Bidirectional Encoder Representations from Transformers (BERT) model.
Beginner
- Course
Transformer Models and BERT Model
This course introduces you to the Transformer architecture and the Bidirectional Encoder Representations from Transformers (BERT) model.
Beginner
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This course is included in the libraries shown below:
- Cloud
What you'll learn
This course content has now been retired on Pluralsight and will be removed by the end of 2026
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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
Beginner
Table of contents
