Skip to main content
. 2018 May 23;17:63. doi: 10.1186/s12938-018-0496-2

Table 2.

Network architecture of CSDAE

Layer (type) Output shape Param#
Input_1(InputLayer) (None, 512, 512, 1) 0
Conv2d_1(Conv2D) (None, 512, 512, 16) 160
Max_pooling2d_1(MaxPooling2D) (None, 256, 256, 16) 0
Conv2d_2(Conv2D) (None, 256, 256, 8) 1160
Max_pooling2d_2(MaxPooling2D) (None, 128, 128, 8) 0
Conv2d_3(Conv2D) (None, 128, 128, 8) 584
Max_pooling2d_3(MaxPooling2D) (None, 64, 64, 8) 0
Conv2d_4(Conv2D) (None, 64, 64, 8) 584
Up_sampling2d_1(UpSampling2D) (None, 128, 128, 8) 0
Conv2d_5(Conv2D) (None, 128, 128, 8) 584
Up_sampling2d_2(UpSampling2D) (None, 256, 256, 8) 0
Conv2d_6(Conv2D) (None, 256, 256, 8) 1168
Up_sampling2d_3(UpSampling2D) (None, 512, 512, 16) 0
Conv2d_7(Conv2D) (None, 512, 512, 1) 145