Mathematical Aspects of Deep Learningwww.lavoisier.eu › books › description_
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90,27 €Expressivity of deep neural networks Ingo Gühring, Mones Raslan and Gitta Kutyniok; 4. Optimization landscape of neural networks René Vidal, Zhihui Zhu and ,27 € Expressivity of deep neural networks Ingo Gühring, Mones Raslan and Gitta Kutyniok; 4. Optimization landscape of neural networks René Vidal, Zhihui Zhu and ...
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Ingo Gühring, Mones Raslan, and Gitta Kutyniok Abstract: In this chapter, we give a comprehensive overview of the large variety of approximation results for ...
[ ] Expressivity of Deep Neural Networks
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von I Gühring · · Zitiert von: 17 — Authors:Ingo Gühring, Mones Raslan, Gitta Kutyniok · Download PDF. Abstract: In this review paper, we give a comprehensive overview of the ... von I Gühring · · Zitiert von: 12 — Authors:Ingo Gühring, Mones Raslan · Download PDF. Abstract: We examine the necessary and sufficient complexity of neural networks to ... › cs › math
Mathematical Analysis of Deep Learning Based Methods for ...
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— Ingo Gühring, Gitta Kutyniok, and Philipp Petersen. “Error bounds for approximations with deep ReLU neural networks in W s,p norms”. › data › DL_PDE_Berner
On the stable recovery of deep structured linear networks ...
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von F Malgouyres · · Zitiert von: 6 — Ingo Gühring, Gitta Kutyniok, and Philipp Petersen. Error bounds for approximations with deep relu neural networks in ws,p norms. › ...
[PDF] Fundamental Belief: Universal Approximation Theorems - Ju Sunsunju.org › teach › DL-Fall › sep-21-A
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· Expressivity of Deep Neural Networks (by Ingo Gühring, Mones. Raslan, Gitta Kutyniok) https://arxiv.org/abs
Expressivity of Neural Networkswww.ai.math.uni-muenchen.de › theses › expressivity
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Ingo Gühring, Mones Raslan, Gitta Kutyniok, Expressivity of Deep Neural Networks. (https://arxiv.org/abs ); Patrick Kidger and Terry Lyons, ...
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Error bounds for approximations with deep ReLU neural networks in …
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WEBIngo Gühring (Korresp. Autor*in), Gitta Kutyniok, Philipp Petersen Veröffentlichungen: Beitrag in Fachzeitschrift › Artikel › Peer Reviewed
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... Boris Hanin and Guergana Petrova and Expressivity of Deep Neural Networks by Ingo Gühring, Mones Raslan and Gitta Kutyniok.
Error bounds for approximations with deep ReLU World Scientificwww.worldscientific.com › doi
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Ingo Gühring, ; Gitta Kutyniok, and ; Philipp Petersen.
Error bounds for approximations with deep ReLU neural networks in ...www.arxiv-vanity.com › papers
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Ingo Gühring Gitta Kutyniok Philipp Petersen Institut für Mathematik, Technische Universität Berlin, E-mail: Institut für Mathematik, Technische Universität ...
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Ingo Gühring, Gitta Kutyniok, Philipp Petersen, Error bounds for approximations with deep ReLU neural networks in Sobolev norms, Signal Processing with ...
[PDF] Implementation and analysis of physics informed neural networkswww.mn.uio.no › math › groups › open-master-projects › hakon-pinn
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· [3] Ingo Gühring, Gitta Kutyniok, and Philipp Petersen. Error bounds for approximations with deep relu neural networks in w s, p norms.
[ ] Error bounds for approximations with deep ReLU neural...
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Title:Error bounds for approximations with deep ReLU neural networks in W^{s,p} norms. Authors:Ingo Gühring, Gitta Kutyniok, Philipp Petersen · Download PDF.
机器学习每日论文速递[07.10] - 知乎专栏zhuanlan.zhihu.com › ...
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· 标题：深层神经网络的表现力作者： Ingo Gühring, Gitta Kutyniok 链接：https://arxiv.org/abs 【20】 Recurrent Neural-Linear ...
统计学每日论文速递[07.10] - 知乎
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· 标题：深层神经网络的表现力作者： Ingo Gühring, Gitta Kutyniok 链接：https://arxiv.org/abs 【46】 A Bivariate Compound Dynamic ...
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