Large Language Models: Text Classification for NLP using BERT
With Jonathan Fernandes
Liked by 658 users
Duration: 55m
Skill level: Advanced
Released: 6/3/2022
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
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Janet Jomy
Janet Jomy
MSc Data Science Student at Christ ( Deemed to be University)| Placement Representative | Secretary(IEEE Student Branch )
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Guorong Chen, Ph.D.
Guorong Chen, Ph.D.
LEAD STUDY STATISTICIAN ▶ Create Statistical Analysis Plan | Analyze Clinical Study Data for FDA Approval | Excellent Interpersonal Skills
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Cynthia Wanyeki MSc
Cynthia Wanyeki MSc
MSc | Computational Chemist | Transforming Manufacturing with AI, ML & AR | Chatbot Developer | Passionate AR & Graphic Designer
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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