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IEEE/ICACT20220181 Slide.08        [Big Slide]       [YouTube]	Oral Presentation
	Autoencoder is a deep learning model proposed by Bengio in 2007. Autoencoder consists of an encoder that converts input data into different values and a decoder that restores the original format. Convolutional autoencoder is a model using CNN for the structure of autoencoder. CNN is a representative image classification network that extracts features and classifies images through convolution operation while maintaining spatial/regional information of input images.

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