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The contribution of this paper is to bridge the gap on understanding the mathematical structure and the computational implementation of a convolutional neural network using a minimal model. The proposed minimal convolutional neural network is presented using a layering approach. This approach provides a clear understanding of the main mathematical operations in a convolutional neural network. Hence,...
The contribution of this paper is to bridge the gap on understanding the mathematical structure and the computational implementation of a convolutional neural network (CNN) using a minimal model (Minimal CNN). The proposed minimal CNN is presented using a layering approach. This approach provides a concise and accessible understanding of the main mathematical operations of a CNN. Hence, it benefits...
This paper presents a comprehensive modeling, simulation and computational implementation of buck converter. Four modeling approaches of buck converter including mathematical, circuitry, transfer function and state space modeling are presented. Each modeling approach is demonstrated with various computational implementation methods including graphical, functional block and text based programming in...
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