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Large Language Models: Text Classification for NLP using BERT Preview

Large Language Models: Text Classification for NLP using BERT

With Jonathan Fernandes Liked by 711 users
Duration: 55m Skill level: Advanced Released: 6/3/2022

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Course details

Transformers are taking the natural language processing (NLP) world by storm. In this course, instructor Jonathan Fernandes teaches you all about this go-to architecture for NLP and computer vision tasks and must-have skill in your Artificial Intelligence toolkit. Jonathan uses a hands-on approach to show you the basics of working with transformers in NLP and production. He goes over BERT model sizes, bias in BERT, and how BERT was trained. Jonathan explores transfer learning, shows you how to use the BERT model and tokenization, and covers text classification. After thoroughly explaining the transformer model architecture, he finishes up with some additional training runs.

Skills you’ll gain

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Meet the instructor

Learner reviews

4.7 out of 5

531 ratings
  • 5 star
    Current value: 415 78%
  • 4 star
    Current value: 89 17%
  • 3 star
    Current value: 20 4%
  • 2 star
    Current value: 6 1%
  • 1 star
    Current value: 1 <1%
  • Maria Fran M. Maria Fran M.

    Maria Fran M.

    Data Science and Advanced Analytics Consulting & Management | Artificial Intelligence for Business, Finance & Marketing

    5/5 November 7, 2024
    Great technical insight into text mining with BERT!
    Helpful · Report
  • Derek Prates Derek Prates

    Derek Prates

    DATA ANALYST | SQL, PYTHON, POWER BI | EXPERTISE IN DATA ENGINEERING & INSIGHTS | STAMP 4

    5/5 September 2, 2024
    A good course with clear code examples.
    Helpful · Report
  • Janet Jomy Janet Jomy

    Janet Jomy

    Associate Technology Consultant (AI)

    5/5 July 3, 2024
    The contents are great
    Helpful · Report

Contents

What’s included

  • Practice while you learn 1 exercise file
  • Test your knowledge 4 quizzes
  • Learn on the go Access on tablet and phone
  • Stay up to date Continuing Education Units

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