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Learner Reviews & Feedback for Transformer Models and BERT Model by Google Cloud
118 ratings
About the 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.
Top reviews
JS
Jan 31, 2025
Concise, challenging, thought-provoking. This course is an immersive look into the inner workings of Transformer models, and the BERT model
RR
Jul 22, 2025
it is a short but very effective video. the content is crisp and easy to understand if you have decent understanding of NN.
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