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IEEE/ICACT20230066 Slide.14        [Big Slide]       [YouTube]	Oral Presentation
	In figure 8, Overfitting is solved by applying dropout and deleting 30% of neurons in the hidden layer while learning And By applying Batch Normalization, the problem of falling into the local minimum is prevented, and the learning result is improved and faster.

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