悲痛
发表于 2025-3-28 15:38:01
Geometry of Deep Neural Networks neural network learn? How does a deep neural network, especially a CNN, accomplish these goals? The full answer to these basic questions is still a long way off. Here are some of the insights we’ve obtained while traveling towards that destination. In particular, we explain why the classic approach
CLEAR
发表于 2025-3-28 20:00:28
Deep Learning Optimizationally gradient-based local update schemes. However, the biggest obstacle recognized by the entire community is that the loss surfaces of deep neural networks are extremely non-convex and not even smooth. This non-convexity and non-smoothness make the optimization unaffordable to analyze, and the main
异常
发表于 2025-3-28 22:54:33
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生命
发表于 2025-3-29 03:53:22
Summary and Outlookrevolution”. Despite the great successes of deep learning in various areas, there is a tremendous lack of rigorous mathematical foundations which enable us to understand why deep learning methods perform well.
ARENA
发表于 2025-3-29 08:27:54
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规范要多
发表于 2025-3-29 13:42:43
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Melatonin
发表于 2025-3-29 17:59:58
tworks are extremely non-convex and not even smooth. This non-convexity and non-smoothness make the optimization unaffordable to analyze, and the main concern was whether popular gradient-based approaches might fall into local minimizers.
CLEAR
发表于 2025-3-29 23:09:37
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malign
发表于 2025-3-30 00:04:54
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conscribe
发表于 2025-3-30 05:14:25
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