2021
DOI: 10.48550/arxiv.2106.07562
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Neural Network Structure Design based on N-Gauss Activation Function

Abstract: Recent work has shown that the activation function of the convolutional neural network can meet the Lipschitz condition, then the corresponding convolutional neural network structure can be constructed according to the scale of the data set, and the data set can be trained more deeply, more accurately and more effectively. In this article, we have accepted the experimental results and introduced the core block N − Gauss, N − Gauss, and S wish (Conv1, Conv2, FC1) neural network structure design to train MNIS T … Show more

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