deformers' work
عمل المُهندسات
training deformers
تدريب المُهندسات
using deformers
استخدام المُهندسات
new deformers
مُهندسات جديدة
advanced deformers
مُهندسات متقدمة
researchers are developing new types of deformable neural networks, or deformers.
正在开发新型可变形神经网络，即变形器。
the use of deformers in protein folding prediction is showing great promise.
变形器在蛋白质折叠预测中的应用前景广阔。
we need to fine-tune the deformer architecture for optimal performance.
我们需要对变形器架构进行微调以实现最佳性能。
deformers can effectively model long-range dependencies in sequential data.
变形器可以有效地对序列数据中的长距离依赖关系进行建模。
the self-attention mechanism is a key component of many modern deformers.
自注意力机制是许多现代变形器的关键组成部分。
compared to transformers, deformers often require less training data.
与变压器相比，变形器通常需要更少的训练数据。
we are exploring the application of deformers to image recognition tasks.
我们正在探索将变形器应用于图像识别任务。
the initial results with the new deformer model are very encouraging.
新变形器模型的初步结果非常令人鼓舞。
deformers offer a potential solution for handling variable-length sequences.
变形器为处理可变长度序列提供了一种潜在的解决方案。
the team is investigating different deformer configurations for this problem.
团队正在研究针对此问题的不同变形器配置。
scaling up the deformer model presents significant computational challenges.
扩大变形器模型面临着重大的计算挑战。
deformers' work
عمل المُهندسات
training deformers
تدريب المُهندسات
using deformers
استخدام المُهندسات
new deformers
مُهندسات جديدة
advanced deformers
مُهندسات متقدمة
researchers are developing new types of deformable neural networks, or deformers.
正在开发新型可变形神经网络，即变形器。
the use of deformers in protein folding prediction is showing great promise.
变形器在蛋白质折叠预测中的应用前景广阔。
we need to fine-tune the deformer architecture for optimal performance.
我们需要对变形器架构进行微调以实现最佳性能。
deformers can effectively model long-range dependencies in sequential data.
变形器可以有效地对序列数据中的长距离依赖关系进行建模。
the self-attention mechanism is a key component of many modern deformers.
自注意力机制是许多现代变形器的关键组成部分。
compared to transformers, deformers often require less training data.
与变压器相比，变形器通常需要更少的训练数据。
we are exploring the application of deformers to image recognition tasks.
我们正在探索将变形器应用于图像识别任务。
the initial results with the new deformer model are very encouraging.
新变形器模型的初步结果非常令人鼓舞。
deformers offer a potential solution for handling variable-length sequences.
变形器为处理可变长度序列提供了一种潜在的解决方案。
the team is investigating different deformer configurations for this problem.
团队正在研究针对此问题的不同变形器配置。
scaling up the deformer model presents significant computational challenges.
扩大变形器模型面临着重大的计算挑战。
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