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Hasan Hasanlee

Jest członkiem od 2024

Liga srebrna

1960 pkt.
Transformer Models and BERT Model Earned kwi 30, 2025 EDT

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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