大破坏
发表于 2025-3-21 18:04:27
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上坡
发表于 2025-3-22 00:17:31
Dynamic Logic,ch of “connectivism” or neural networks is dynamical and has been conceived to be capable of learning. Its weakness is that it cannot easily incorporate structural knowledge. As discussed in the previous chapter, both approaches faced combinatorial complexity (CC). DL combines structure and dynamics
Goblet-Cells
发表于 2025-3-22 00:58:37
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报复
发表于 2025-3-22 07:16:34
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诱惑
发表于 2025-3-22 12:35:39
Epilogue Future Research Directions,hat it is a fundamental mathematical result. Similarly, its wide applicability to cognitive phenomena, explanation and mathematical modeling of much that has not been understood previously, indicates that it is a fundamental mechanism of the mindbrain. Here we summarize the main ideas of the book: m
dissent
发表于 2025-3-22 16:53:48
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dissent
发表于 2025-3-22 18:54:05
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笼子
发表于 2025-3-23 00:38:37
Tabellenverarbeitung mit Multiplan,tion, tracking, and association (“track before detect”); sensor fusion and association (“fuse before detect”); situational awareness; prediction and specifics of financial prediction. In all cases DL leads to practical improvements; we concentrate on complex aspects of problems, which have remained
Ethics
发表于 2025-3-23 03:45:44
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MORT
发表于 2025-3-23 08:51:32
,Graue Flächen und Schraffuren,hat it is a fundamental mathematical result. Similarly, its wide applicability to cognitive phenomena, explanation and mathematical modeling of much that has not been understood previously, indicates that it is a fundamental mechanism of the mindbrain. Here we summarize the main ideas of the book: m