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Titlebook: Deep Learning: Concepts and Architectures; Witold Pedrycz,Shyi-Ming Chen Book 2020 Springer Nature Switzerland AG 2020 Computational Intel

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發(fā)表于 2025-3-25 03:39:30 | 只看該作者
Die kommunale Stadt des Mittelaltersnference. The investigation on efficient representation of a graph has profound theoretical significance and important realistic meaning, we therefore introduce some basic ideas in graph representation/network embedding as well as some representative models in this chapter.
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發(fā)表于 2025-3-25 07:37:05 | 只看該作者
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發(fā)表于 2025-3-25 13:49:58 | 只看該作者
https://doi.org/10.1007/978-3-322-97122-7ter describes and evaluates the proposed accelerator?for the main computational intensive components of a DNN: the fully connected layer, the convolution layer, the pooling layer, and the softmax layer.
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發(fā)表于 2025-3-25 19:22:37 | 只看該作者
Heterogeneous Computing System for Deep Learning,ter describes and evaluates the proposed accelerator?for the main computational intensive components of a DNN: the fully connected layer, the convolution layer, the pooling layer, and the softmax layer.
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發(fā)表于 2025-3-25 21:06:22 | 只看該作者
Book 2020atic mechanisms of structural knowledge representation. It discusses a number of multilayer architectures giving rise to tangible and functionally meaningful pieces of knowledge, and shows how the structural developments have become essential to the successful delivery of competitive practical solut
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發(fā)表于 2025-3-26 02:32:17 | 只看該作者
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978-3-030-31758-4Springer Nature Switzerland AG 2020
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