Transformer Models and BERT Model

Offered byGoogle Cloud

Transformer Models and BERT Model
at
Google Cloud
Overview

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

Earn a certificate after completion of the course
Quizzes for practice

Transformer Models and BERT Model
at
Google Cloud
Course details

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