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Inicio 4 June 2026 05:21
Fin 4 June 2026
Implement Named Entity Recognition with BERT
659 Cursos
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Actualización opcional disponible
Resumen
In this course, you'll learn about the state-of-the-art transformer technique called BERT, how to tag respective news domain entities to classify information, and how to get relevant insights about geo-political news using a deep learning library. Classifying information into multiple domain entities is crucial for an enterprise to garner key insights.
In this course, Implement Named Entity Recognition with BERT, you’ll gain the ability to tag referential entities based on domain text.
First, you’ll explore the key benefits of transformers. Next, you’ll discover the usage and advantages of named entity recognition.
Finally, you’ll use PyTorch to tag entities based on domain data and the BERT technique. When you’re finished with this course, you’ll have the skills and knowledge to implement named entity recognition with BERT and retrieve contextual tagging insights.
University:
Provider:
Pluralsight
Categories:
Deep Learning Courses, PyTorch Courses, BERT Courses, Transformers Courses
