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Transformer Models and BERT Model

Offered By: Google Cloud via Coursera

Tags

BERT Courses Artificial Intelligence Courses Machine Learning Courses Text Classification Courses Transformer Architecture Courses Self-Attention Mechanisms Courses Natural Language Inference Courses

Course Description

Overview

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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

  • Transformer Models and BERT Model: Overview
    • In this module you 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. You also learn about the different tasks that BERT can be used for, such as text classification, question answering, and natural language inference.

Taught by

Google Cloud Training

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