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Transformer Models and BERT Model with Google Cloud

Course

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 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.

Built in collaboration with

Google Cloud

Beginner

45 minutes

Completion Certificate

Last Updated May 15, 2023

Skills you'll learn:
Transformer neural networks • NLP transformers • Bert
Prerequisites:
Machine learning model implementation • TensorFlow • Machine learning frameworks in Python

Course Lessons

Lesson 1

Transformer Models and BERT Model with Google Cloud

This course introduces you to the Transformer architecture and the Bidirectional Encoder Representations from Transformers (BERT) model.

Taught By The Best

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Google Cloud Training

The Google Cloud Training team is responsible for developing, delivering and evaluating training that enables our enterprise customers and partners to use our products and solution offerings in an effective and impactful way.

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