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Convolutional Neural Network with Biologically Inspired Retinal Structure

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Figure

Figure 1 shows the proposed structure of ON/OFF ReLU. While the conventional neural networks  usually consider one activation function to generate output value, we use same weighted sum result for  both positive and negative ReLU activation functions
Table 1 shows performance comparison result between conventional ReLU and proposed ON/OFF  ReLU
Table 1: Performance comparison result between conventional ReLU and proposed ON/OFF ReLU

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