Google Skills - Transformer Models and BERT Model
Job Description
PLEASE CLICK “APPLY” TO READ MORE DETAILS ABOUT THIS POST
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.
Earn a badge today!
About us
Cake is on a mission to connect talent in the digital era with opportunities around the globe. To achieve this goal, we offer an online CV builder to help job seekers demonstrate their skills the way they like, and an informative Blog offering up-to-date career advice & resources to help them succeed in their careers.