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Transformer Models and BERT Model

Instructor: Google Cloud Training

What you'll learn

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.

Skills you'll gain

Artificial Neural Networks

Large Language Modeling

Natural Language Processing

Generative AI

There is 1 module in this 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 is estimated to take approximately 45 minutes to complete.

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