Virual Oral Presentation Slide by Slide

IEEE/ICACT20220181 Slide.12        [Big Slide]       [YouTube]	Oral Presentation
	The convolutional block has two 3x3 kernel size 2d convolutional layers, and batch normalization and ReLU follow each convolutional layer. A maxpooling layer is constructed between each convolutional block to prevent overfitting. The decoder has a symmetrical structure with the encoder, and the convolutional layer is replaced by the deconvolutional layer. The rest of the blocks are the same, and an upsampling layer is formed between each deconvolutional block to restore the image size reduced by the maxpooling layer.

[Go to Next Slide]

Select Voice: Virtual Oral Presentation!!