Schematic Diagram of the BERT Transformer Encoder Architecture
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This diagram illustrates the core structure of the Transformer encoder component within the BERT model. The process flows from bottom to top: inputs—comprising special token embeddings and standard sequence embeddings—pass through two Transformer modules (labeled "Trm"). Interconnecting lines in the diagram depict fully connected interactions, enabling the comprehensive extraction of global contextual features from the sequence. Finally, the upper layer outputs a sequence of corresponding hidden states, with the initial node typically serving as an aggregated feature representation that encapsulates information from the entire input sequence.
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