Transformer Models and BERT Model
- Offered byGoogle Cloud
Transformer Models and BERT Model at Google Cloud Overview
Transformer Models and BERT Model
at Google Cloud
Acquire a solid understanding of the encoder-decoder architecture's workings, its significance in various sequence-to-sequence tasks, and the practical skills necessary to develop implementations
Duration | 8 hours |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course  |
Credential | Certificate |
Transformer Models and BERT Model at Google Cloud Highlights
Transformer Models and BERT Model
at Google Cloud
- Earn a certificate after completion of the course
- Quizzes for practice
Transformer Models and BERT Model at Google Cloud Course details
Transformer Models and BERT Model
at Google Cloud
Who should do this course?
- Data scientists
- Machine learning engineers
- Software engineers
What are the course deliverables?
- Understand the main components of the Transformer architecture
- Learn how a BERT model is built using Transformers
- Use BERT to solve different natural language processing (NLP) tasks
More about this course
- This course introduces students to the Transformer architecture and the Bidirectional Encoder Representations from Transformers (BERT) model
- In this course students will 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
Transformer Models and BERT Model at Google Cloud Curriculum
Transformer Models and BERT Model
at Google Cloud
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
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Transformer Models and BERT Model
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