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Transformer Models and BERT Model 

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Transformer Models and BERT Model
 at 
Coursera 
Overview

Duration

1 hour

Start from

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Total fee

Free

Mode of learning

Online

Difficulty level

Advanced

Official Website

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Credential

Certificate

Transformer Models and BERT Model
 at 
Coursera 
Highlights

  • Flexible deadlines Reset deadlines in accordance to your schedule.
  • Shareable Certificate Earn a Certificate upon completion
  • 100% online Start instantly and learn at your own schedule.
  • Coursera Labs Includes hands on learning projects. Learn more about Coursera Labs External Link
  • Advanced Level
  • English Subtitles: English
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Transformer Models and BERT Model
 at 
Coursera 
Course details

More about this 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 is estimated to take approximately 45 minutes to complete.

Transformer Models and BERT Model
 at 
Coursera 
Curriculum

Transformer Models and BERT Model: Overview

Transformer Models and BERT Model: Overview

Transformer Models and BERT Model: Lab Walkthrough

Transformer Models and BERT Model: Lab Resources

Transformer Models and BERT Model: Quiz

Transformer Models and BERT Model
 at 
Coursera 
Admission Process

    Important Dates

    May 25, 2024
    Course Commencement Date

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    Transformer Models and BERT Model
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