Transformer Models and BERT Model

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Course Overview

What You'll Learn

  • 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. This course is estimated to take approximately 45 minutes to complete.

Course FAQs

Is this an accredited online course?

Accreditation for 'Transformer Models and BERT Model' is determined by the provider, Google Cloud. For online college courses or degree programs, we strongly recommend you verify the accreditation status directly on the provider's website to ensure it meets your requirements.

Can this course be used for continuing education credits?

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How do I enroll in this online school program?

To enroll, click the 'ENROLL NOW' button on this page. You will be taken to the official page for 'Transformer Models and BERT Model' on the Google Cloud online class platform, where you can complete your registration.