self-attention mechanism
自注意力機制
using self-attention
使用自注意力
self-attention layer
自注意力層
apply self-attention
應用自注意力
self-attention weights
自注意力權重
with self-attention
帶有自注意力
self-attention scores
自注意力分數
self-attention model
自注意力模型
self-attention network
自注意網絡
self-attention improved
自注意力提升
the model utilizes self-attention to weigh the importance of different words in the input sequence.
該模型使用自注意力機制來衡量輸入序列中不同詞語的重要性。
self-attention allows the transformer to capture long-range dependencies effectively.
自注意力機制使轉換器能夠有效地捕捉長距離依賴關係。
we fine-tuned the pre-trained model with self-attention on a new dataset.
我們在新的數據集上使用自注意力機制微調了預訓練模型。
the self-attention mechanism significantly improved the model's performance on the task.
自注意力機制顯著提高了模型在任務上的表現。
visualizing self-attention weights provides insights into the model's reasoning process.
可視化自注意力權重可以深入瞭解模型的推理過程。
multi-head self-attention enables the model to attend to different aspects of the input.
多頭自注意力機制使模型能夠關注輸入的不同方面。
self-attention layers are crucial for understanding context in natural language processing.
自注意力層對於理解自然語言處理中的上下文至關重要。
the self-attention mechanism helps the model resolve ambiguity in the sentence.
自注意力機制幫助模型解決句子中的歧義。
we compared self-attention with traditional recurrent neural networks.
我們將自注意力機制與傳統的循環神經網絡進行了比較。
the effectiveness of self-attention is well-established in the field of nlp.
自注意力機制在自然語言處理領域中的有效性已經得到充分證實。
self-attention contributes to better machine translation quality.
自注意力機制有助於提高機器翻譯的質量。
self-attention mechanism
自注意力機制
using self-attention
使用自注意力
self-attention layer
自注意力層
apply self-attention
應用自注意力
self-attention weights
自注意力權重
with self-attention
帶有自注意力
self-attention scores
自注意力分數
self-attention model
自注意力模型
self-attention network
自注意網絡
self-attention improved
自注意力提升
the model utilizes self-attention to weigh the importance of different words in the input sequence.
該模型使用自注意力機制來衡量輸入序列中不同詞語的重要性。
self-attention allows the transformer to capture long-range dependencies effectively.
自注意力機制使轉換器能夠有效地捕捉長距離依賴關係。
we fine-tuned the pre-trained model with self-attention on a new dataset.
我們在新的數據集上使用自注意力機制微調了預訓練模型。
the self-attention mechanism significantly improved the model's performance on the task.
自注意力機制顯著提高了模型在任務上的表現。
visualizing self-attention weights provides insights into the model's reasoning process.
可視化自注意力權重可以深入瞭解模型的推理過程。
multi-head self-attention enables the model to attend to different aspects of the input.
多頭自注意力機制使模型能夠關注輸入的不同方面。
self-attention layers are crucial for understanding context in natural language processing.
自注意力層對於理解自然語言處理中的上下文至關重要。
the self-attention mechanism helps the model resolve ambiguity in the sentence.
自注意力機制幫助模型解決句子中的歧義。
we compared self-attention with traditional recurrent neural networks.
我們將自注意力機制與傳統的循環神經網絡進行了比較。
the effectiveness of self-attention is well-established in the field of nlp.
自注意力機制在自然語言處理領域中的有效性已經得到充分證實。
self-attention contributes to better machine translation quality.
自注意力機制有助於提高機器翻譯的質量。
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