烦扰 发表于 2025-3-25 04:23:07

Mathematical PreliminariesIn this chapter, we briefly review the basic mathematical concepts that are required to understand the materials of this book.

独裁政府 发表于 2025-3-25 09:44:25

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Anthem 发表于 2025-3-25 13:00:26

Reproducing Kernel Hilbert Space, Representer TheoremOne of the key concepts in machine learning is the feature space, which is often referred to as the .. A feature space is usually a higher or lower-dimensional space than the original one where the input data lie (which is often referred to as the .).

就职 发表于 2025-3-25 18:36:21

Normalization and AttentionIn this chapter, we will discuss very exciting and rapidly evolving technical fields of deep learning: . and ..

septicemia 发表于 2025-3-25 21:07:53

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Flustered 发表于 2025-3-26 02:55:27

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sultry 发表于 2025-3-26 04:52:36

https://doi.org/10.1007/978-3-322-84383-8his method is mainly used to predict and find the cause-and-effect relationship between variables. For example, in a linear regression, a researcher tries to find the line that best fits the data according to a certain mathematical criterion (see Fig. 3.1a).

小口啜饮 发表于 2025-3-26 09:53:09

https://doi.org/10.1007/978-3-642-91616-8f neurons and connections in a network may be significantly high. One of the amazing aspects of biological neural networks is that when the neurons are connected to each other, higher-level intelligence, which cannot be observed from a single neuron, emerges.

capillaries 发表于 2025-3-26 13:41:56

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Fallibility 发表于 2025-3-26 18:56:34

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查看完整版本: Titlebook: Geometry of Deep Learning; A Signal Processing Jong Chul Ye Textbook 2022 The Editor(s) (if applicable) and The Author(s), under exclusive