Transformer Models and BERT Model
Offered By: Google via Google Cloud Skills Boost
Course Description
Overview
This course introduces you to the Transformer architecture and the Bidirectional Encoder Representations from Transformers (BERT) model. You learn about the main components of the Transformer architecture, such as the self-attention mechanism, and how it is used to build the BERT model. You also learn about the different tasks that BERT can be used for, such as text classification, question answering, and natural language inference.This course is estimated to take approximately 45 minutes to complete.
Syllabus
- Introduction
- Transformer Models and BERT Model: Overview
- Transformer Models and BERT Model: Lab Walkthrough
- Transformer Models and BERT Model: Quiz
- Transformer Models and BERT Model: Lab Resources
- Your Next Steps
- Course Badge
Tags
Related Courses
Artificial Intelligence Foundations: Neural NetworksLinkedIn Learning Transformers: Text Classification for NLP Using BERT
LinkedIn Learning TensorFlow: Working with NLP
LinkedIn Learning BERTによる自然言語処理を学ぼう! -Attention、TransformerからBERTへとつながるNLP技術-
Udemy Complete Natural Language Processing Tutorial in Python
Keith Galli via YouTube