搜索结果: 1-9 共查到“Deep Learning”相关记录9条 . 查询时间(0.125 秒)
Deep-learning system explores materials’ interiors from the outside（图）
深度学习 材料内部 人工智能
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2023/6/6
Maybe you can’t tell a book from its cover, but according to researchers at MIT you may now be able to do the equivalent for materials of all sorts, from an airplane part to a medical implant. Their n...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Convergence and Implicit Regularization of Deep Learning Optimizers
深度学习 优化 收敛 隐式正则化
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2023/4/13
In this talk, I will present our recent work on the convergence/generalization analysis for the popular optimizers in deep learning. (1) We establish the convergence for Adam under (L0,L1 ) smoothness...
美国奥本大学Shiwen Mao教授来南京邮电大学通信与信息工程学院作“Deep Learning for WiFi-based Indoor Fingerprinting”专题报告（图）
美国 奥本大学 Shiwen Mao 深度学习 模型 信号 无线电地图
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2024/2/4
2023年3月24日上午，IEEE Fellow、美国奥本大学Shiwen Mao教授应邀来南京邮电大学通信与信息工程学院作“Deep Learning for WiFi-based Indoor Fingerprinting”专题报告。本次专题报告详细地介绍了室内定位的相关内容，为南京邮电大学通信与信息工程学院师生的相关科研工作开拓了新思路。本次报告由通信与信息工程学院周亮院长主持，学院逾三百名...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Real-time tool path planning using deep learning for subtractive manufacturing
深度学习 减材制造 实时刀具 路径规划
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2023/4/25
Tool path planning is a crucial factor of computer-aided design and manufacturing (CAD/CAM). To generate suitable tool paths, the previous methods often transform the problem into local or global opti...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Deep learning of multi-scale PDEs based on data generated from particle methods
粒子方法 数据 多尺度 偏微分方程 深度学习
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2023/4/26
Solving multi-scale PDEs is difficult in high-dimensional and/or convection-dominant cases. The interacting particle methods (IPM) are shown to outperform solving PDEs directly. Examples include compu...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Condensation in deep learning
深度学习 凝结 神经网络
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2023/4/28
Why do neural networks (NN) that look so complex usually generalize well? To understand this problem, we find some simple implicit regularizations during training NNs. The first is the frequency princ...
Busy GPUs: Sampling and pipelining method speeds up deep learning on large graphs（图）
GPU 流水线 大型图形 深度学习
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2023/6/20
Graphs, a potentially extensive web of nodes connected by edges, can be used to express and interrogate relationships between data, like social connections, financial transactions, traffic, energy gri...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：A novel deep learning approach for tourism volume forecasting with tourist search data
游客搜索数据 旅游量预测 深度学习方法
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2023/5/8
Tourism volume forecasting is the hot topic in tourism management, and deep learning techniques as the promising tool are becoming popular for capturing the characteristics of tourism volume data, whi...
