ABS 发表于 2025-3-21 19:36:06
书目名称Deep Learning: Concepts and Architectures影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0264643<br><br> <br><br>书目名称Deep Learning: Concepts and Architectures影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0264643<br><br> <br><br>书目名称Deep Learning: Concepts and Architectures网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0264643<br><br> <br><br>书目名称Deep Learning: Concepts and Architectures网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0264643<br><br> <br><br>书目名称Deep Learning: Concepts and Architectures被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0264643<br><br> <br><br>书目名称Deep Learning: Concepts and Architectures被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0264643<br><br> <br><br>书目名称Deep Learning: Concepts and Architectures年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0264643<br><br> <br><br>书目名称Deep Learning: Concepts and Architectures年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0264643<br><br> <br><br>书目名称Deep Learning: Concepts and Architectures读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0264643<br><br> <br><br>书目名称Deep Learning: Concepts and Architectures读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0264643<br><br> <br><br>卧虎藏龙 发表于 2025-3-21 22:39:09
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Deep Neural Networks for Corrupted Labels,AR-10, CIFAR-100 and ImageNet datasets and on a large-scale Clothing 1M dataset with inherent label noise. Further, we show that with the different initialization and the regularization of the noise model, we can apply this learning procedure to text classification tasks as well. We evaluate the perObsessed 发表于 2025-3-22 06:57:48
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1860-949X current trends in the design and analysis of deep learning topologies, the book offers practical guidelines and presents competitive solutions to various areas of language modeling, graph representation, and forecasting.978-3-030-31758-4978-3-030-31756-0Series ISSN 1860-949X Series E-ISSN 1860-9503observatory 发表于 2025-3-23 00:04:54
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https://doi.org/10.1007/978-3-322-90228-3ompression. Due to wide availability of high-end processing chips and large datasets, deep learning has gained a lot attention from academia, industries and research centers to solve multitude of problems. Considering the state-of-the-art literature, autoencoders are widely used architectures in mancompanion 发表于 2025-3-23 08:44:42
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