self-attention mechanism
自注意力机制
using self-attention
使用自注意力
self-attention layer
自注意力层
apply self-attention
应用自注意力
self-attention weights
自注意力权重
with self-attention
带有自注意力
self-attention scores
自注意力分数
self-attention model
自注意力模型
self-attention network
自注意网络
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.
该模型使用自注意力机制来衡量输入序列中不同词语的重要性。
self-attention allows the transformer to capture long-range dependencies effectively.
自注意力机制使转换器能够有效地捕捉长距离依赖关系。
we fine-tuned the pre-trained model with self-attention on a new dataset.
我们在新的数据集上使用自注意力机制微调了预训练模型。
the self-attention mechanism significantly improved the model's performance on the task.
自注意力机制显著提高了模型在任务上的表现。
visualizing self-attention weights provides insights into the model's reasoning process.
可视化自注意力权重可以深入了解模型的推理过程。
multi-head self-attention enables the model to attend to different aspects of the input.
多头自注意力机制使模型能够关注输入的不同方面。
self-attention layers are crucial for understanding context in natural language processing.
自注意力层对于理解自然语言处理中的上下文至关重要。
the self-attention mechanism helps the model resolve ambiguity in the sentence.
自注意力机制帮助模型解决句子中的歧义。
we compared self-attention with traditional recurrent neural networks.
我们将自注意力机制与传统的循环神经网络进行了比较。
the effectiveness of self-attention is well-established in the field of nlp.
自注意力机制在自然语言处理领域中的有效性已经得到充分证实。
self-attention contributes to better machine translation quality.
自注意力机制有助于提高机器翻译的质量。
self-attention mechanism
自注意力机制
using self-attention
使用自注意力
self-attention layer
自注意力层
apply self-attention
应用自注意力
self-attention weights
自注意力权重
with self-attention
带有自注意力
self-attention scores
自注意力分数
self-attention model
自注意力模型
self-attention network
自注意网络
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.
该模型使用自注意力机制来衡量输入序列中不同词语的重要性。
self-attention allows the transformer to capture long-range dependencies effectively.
自注意力机制使转换器能够有效地捕捉长距离依赖关系。
we fine-tuned the pre-trained model with self-attention on a new dataset.
我们在新的数据集上使用自注意力机制微调了预训练模型。
the self-attention mechanism significantly improved the model's performance on the task.
自注意力机制显著提高了模型在任务上的表现。
visualizing self-attention weights provides insights into the model's reasoning process.
可视化自注意力权重可以深入了解模型的推理过程。
multi-head self-attention enables the model to attend to different aspects of the input.
多头自注意力机制使模型能够关注输入的不同方面。
self-attention layers are crucial for understanding context in natural language processing.
自注意力层对于理解自然语言处理中的上下文至关重要。
the self-attention mechanism helps the model resolve ambiguity in the sentence.
自注意力机制帮助模型解决句子中的歧义。
we compared self-attention with traditional recurrent neural networks.
我们将自注意力机制与传统的循环神经网络进行了比较。
the effectiveness of self-attention is well-established in the field of nlp.
自注意力机制在自然语言处理领域中的有效性已经得到充分证实。
self-attention contributes to better machine translation quality.
自注意力机制有助于提高机器翻译的质量。
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