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Titlebook: Advances in Computational Intelligence Systems; Contributions Presen Ahmad Lotfi,Hamid Bouchachia,Martin McGinnity Conference proceedings 2

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A Study on CNN Transfer Learning for Image Classificationic and industrial wastewaters—commonly referred to as sewage—and the other is to allow surface water resulting from rain-storms (and other precipitations) to enter the local streams without causing undue flooding, erosion or pollution. Historically the answer to both of these problems has been to us
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Democratic Socialism and Social Policyrential equations (PDEs). This concept is laid down so as to produce a prevalent approximation on the basis of the learning method which is at par with quasi-Newton rule. The proposed neural network contains the regularizing parameters (weights and biases), that can be utilized for making the error
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