Transformer Models and BERT: NLP Fundamentals
Learn about transformer architecture and BERT model for advanced NLP tasks. Understand key components and applications in 1 hour.
Learn about transformer architecture and BERT model for advanced NLP tasks. Understand key components and applications in 1 hour.
This course provides an introduction to transformer architecture and the Bidirectional Encoder Representations from Transformers (BERT) model. You'll learn about the key components of transformer architecture, such as the self-attention mechanism, and how they are used to build the BERT model. The course covers different tasks where BERT can be applied, including text classification, question answering, and natural language inference. Designed for those already in the industry, this advanced-level course offers a comprehensive overview of these powerful NLP tools in just one hour, allowing you to quickly grasp the fundamentals and potential applications of transformer models and BERT in various natural language processing tasks.
Instructors:
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Português (Brasil)
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What you'll learn
Understand the main components of transformer architecture
Learn how the BERT model is built using transformers
Explore BERT's applications in various NLP tasks
Grasp the concept of self-attention mechanism
Identify use cases for text classification with BERT
Understand BERT's role in question answering systems
Skills you'll gain
This course includes:
20 Minutes PreRecorded video
1 assignments
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There is 1 module in this course
This course offers a comprehensive introduction to transformer architecture and the BERT (Bidirectional Encoder Representations from Transformers) model. Participants will learn about the key components of transformer architecture, including the self-attention mechanism, and how these elements are utilized to construct the BERT model. The course covers various applications of BERT in natural language processing tasks such as text classification, question answering, and natural language inference. Designed for advanced learners already in the industry, this concise one-hour course provides a solid foundation in these cutting-edge NLP technologies, enabling participants to understand and potentially implement these models in their own work.
Modelos de transformador e modelo de BERT: Informações gerais
Module 1 · 48 Minutes to complete
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