虚弱的神经
发表于 2025-3-30 09:41:26
Deep Learning Optimizationtworks 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.
resuscitation
发表于 2025-3-30 15:08:04
Generalization Capability of Deep Learningset, this situation being notorious for overfitting from the point of view of classical statistical learning theory. However, empirical results have shown that a deep neural network generalizes well at the test phase, resulting in high performance for the unseen data.
Vulnerable
发表于 2025-3-30 19:44:42
1612-3956 to understand the working mechanism of deep learning from high-dimensional geometry is offered. Then, different forms of generative models like GAN, VAE, normalizing flows, optimal transport, and so on are desc978-981-16-6048-1978-981-16-6046-7Series ISSN 1612-3956 Series E-ISSN 2198-3283
Maximizer
发表于 2025-3-30 23:47:51
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