Transformers: Text Classification for NLP Using BERT.
(Online Course)
Author
Contributors
Published
Carpenteria, CA linkedin.com, 2022.
Format
Online Course
Status
Description
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Language
English
Notes
General Note
6/03/202212:00:00AM
Participants/Performers
Presenter: Jonathan Fernandes
Description
Learn about transformers, the go-to architecture for NLP and computer vision tasks.
Description
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.
System Details
Latest version of the following browsers: Chrome, Safari, Firefox, or Internet Explorer. Adobe Flash Player Plugin. JavaScript and cookies must be enabled. A broadband Internet connection.
Citations
APA Citation, 7th Edition (style guide)
Fernandes, J. (2022). Transformers: Text Classification for NLP Using BERT . linkedin.com.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Fernandes, Jonathan. 2022. Transformers: Text Classification for NLP Using BERT. linkedin.com.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Fernandes, Jonathan. Transformers: Text Classification for NLP Using BERT linkedin.com, 2022.
MLA Citation, 9th Edition (style guide)Fernandes, Jonathan. Transformers: Text Classification for NLP Using BERT linkedin.com, 2022.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.