Lesson 1
Transformer Models and BERT Model with Google Cloud
This course introduces you to the Transformer architecture and the Bidirectional Encoder Representations from Transformers (BERT) model.
Course
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 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.
Built in collaboration with
Google Cloud
Beginner
45 minutes
Completion Certificate
Last Updated September 23, 2024
Skills you'll learn:
Prerequisites:
Lesson 1
This course introduces you to the Transformer architecture and the Bidirectional Encoder Representations from Transformers (BERT) model.
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