Shallow Neural Network can Perfectly Classify an Object following Separable Probability Distribution

19 Apr 2019Youngjae MinHye Won Chung

Guiding the design of neural networks is of great importance to save enormous resources consumed on empirical decisions of architectural parameters. This paper constructs shallow sigmoid-type neural networks that achieve 100% accuracy in classification for datasets following a linear separability condition... (read more)

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