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Titlebook: Development and Analysis of Deep Learning Architectures; Witold Pedrycz,Shyi-Ming Chen Book 2020 Springer Nature Switzerland AG 2020 Compu

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Deep Learning for Wireless Communications,ance when the model-based methods fail. Finally, we discuss how deep learning applies to wireless communication security. In this context, adversarial machine learning provides novel means to launch and defend against wireless attacks. These applications demonstrate the power of deep learning in pro
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Tomer Gardi und sein (un)bekannter Onkel,ly removed in each group (transformation stage). The two-stage NDR procedure is repeated until a user-defined criterion controlling information loss is satisfied. The reduced dimensional data is finally used for classification with a DNN-based framework where direct error-driven learning regime is i
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Migration im Kontext des EU-Grenzmanagementsance when the model-based methods fail. Finally, we discuss how deep learning applies to wireless communication security. In this context, adversarial machine learning provides novel means to launch and defend against wireless attacks. These applications demonstrate the power of deep learning in pro
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Development and Analysis of Deep Learning Architectures
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