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[帮助文档] 如何在七代安全增强型实例中部署PyTorch深度学习模型

本文介绍如何基于安全增强型实例（Intel® SGX）部署PyTorch深度学习模型的技术架构和使用流程。

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检索增强一直是NLP中研究的一个方向，但是引入了检索增强的表格深度学习模型在当前实现与非基于检索的模型相比几乎没有改进。所以论文作者提出了一个新的TabR模型，模型通过增加一个类似注意力的检索组件来改进现有模型。据说，这种注意力机制的细节可以显著提高表格数据任务的性能。TabR模型在表格数据上的平均...

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做时间序列预测有必要用深度学习吗？事实证明，梯度提升回归树媲美甚至超越多个DNN模型

在深度学习方法应用广泛的今天，所有领域是不是非它不可呢？其实未必，在时间序列预测任务上，简单的机器学习方法能够媲美甚至超越很多 DNN 模型。过去几年，时间序列领域的经典参数方法（自回归）已经在很大程度上被复杂的深度学习框架（如 DeepGIO 或 LSTNet 等）更新...

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