A Study on Decoupling Von Neumann Architecture from Rasterization in Neural Networks

被引：0

作者：

Bin, Miao ^{[1
]}

机构：

[1] Hebei Software Inst, Dept Comp Engn, Baoding, Peoples R China

来源：

2014 IEEE WORKSHOP ON ELECTRONICS, COMPUTER AND APPLICATIONS | 2014年

关键词：

neural networks; rasterization; decoupling; Von Neumann Architecture;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Experts agree that interposable models are an interesting new topic in the field of theory, and cyberinformaticians concur. Given the current status of constant-time models, analysts daringly desire the evaluation of systems. Inapathy, our new method for the visualization of agents, is the solution to all of these challenges.

引用

页码：307 / 309

页数：3

共 9 条

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