minuscule 发表于 2025-3-21 17:00:35

书目名称Deep Learning in Mining of Visual Content影响因子(影响力)<br>        http://figure.impactfactor.cn/if/?ISSN=BK0264624<br><br>        <br><br>书目名称Deep Learning in Mining of Visual Content影响因子(影响力)学科排名<br>        http://figure.impactfactor.cn/ifr/?ISSN=BK0264624<br><br>        <br><br>书目名称Deep Learning in Mining of Visual Content网络公开度<br>        http://figure.impactfactor.cn/at/?ISSN=BK0264624<br><br>        <br><br>书目名称Deep Learning in Mining of Visual Content网络公开度学科排名<br>        http://figure.impactfactor.cn/atr/?ISSN=BK0264624<br><br>        <br><br>书目名称Deep Learning in Mining of Visual Content被引频次<br>        http://figure.impactfactor.cn/tc/?ISSN=BK0264624<br><br>        <br><br>书目名称Deep Learning in Mining of Visual Content被引频次学科排名<br>        http://figure.impactfactor.cn/tcr/?ISSN=BK0264624<br><br>        <br><br>书目名称Deep Learning in Mining of Visual Content年度引用<br>        http://figure.impactfactor.cn/ii/?ISSN=BK0264624<br><br>        <br><br>书目名称Deep Learning in Mining of Visual Content年度引用学科排名<br>        http://figure.impactfactor.cn/iir/?ISSN=BK0264624<br><br>        <br><br>书目名称Deep Learning in Mining of Visual Content读者反馈<br>        http://figure.impactfactor.cn/5y/?ISSN=BK0264624<br><br>        <br><br>书目名称Deep Learning in Mining of Visual Content读者反馈学科排名<br>        http://figure.impactfactor.cn/5yr/?ISSN=BK0264624<br><br>        <br><br>

哄骗 发表于 2025-3-21 22:29:45

978-3-030-34375-0The Author(s), under exclusive license to Springer Nature Switzerland AG 2020

Addictive 发表于 2025-3-22 03:58:01

http://reply.papertrans.cn/27/2647/264624/264624_3.png

虚弱的神经 发表于 2025-3-22 07:02:02

Aidan Beggs,Alexandros Kapravelosd dimension which finally allows a classification decision. We are interested in two operations: convolution and pooling and trace analogy with these operations in a classical Image Processing framework.

流逝 发表于 2025-3-22 11:17:22

https://doi.org/10.1007/978-3-030-22038-9der those designed for particular data: images. First of all we will expose some general principles, then go into detail layer-by-layer and finally briefly overview most popular convolutional neural networks architectures.

锡箔纸 发表于 2025-3-22 15:07:53

http://reply.papertrans.cn/27/2647/264624/264624_6.png

锡箔纸 发表于 2025-3-22 21:04:16

http://reply.papertrans.cn/27/2647/264624/264624_7.png

Phenothiazines 发表于 2025-3-22 23:57:49

http://reply.papertrans.cn/27/2647/264624/264624_8.png

Graphite 发表于 2025-3-23 01:23:30

SpringerBriefs in Computer Sciencehttp://image.papertrans.cn/d/image/264624.jpg

mendacity 发表于 2025-3-23 06:14:58

Michael Brengel,Christian Rossowg consists in grouping similar data points in the description space thus inducing a structure on it. Then the data model can be expressed in terms of space partition. Probably, the most popular of such grouping algorithms in visual content mining is the K-means approach introduced by MacQueen as ear
页: [1] 2 3 4 5
查看完整版本: Titlebook: Deep Learning in Mining of Visual Content; Akka Zemmari,Jenny Benois-Pineau Book 2020 The Author(s), under exclusive license to Springer N