1,inputImage,Image Input,256×256×6 images
2,conv_D_1,2-D Convolution,64 4×4×6 convolutions with stride [2 2] and padding 'same'
3,lrelu_D_1,Leaky ReLU,Leaky ReLU with scale 0.2
4,conv_D_2,2-D Convolution,128 4×4×64 convolutions with stride [2 2] and padding 'same'
5,bn_D_2,Batch Normalization,Batch normalization with 128 channels
6,lrelu_D_2,Leaky ReLU,Leaky ReLU with scale 0.2
7,conv_D_3,2-D Convolution,256 4×4×128 convolutions with stride [2 2] and padding 'same'
8,bn_D_3,Batch Normalization,Batch normalization with 256 channels
9,lrelu_D_3,Leaky ReLU,Leaky ReLU with scale 0.2
10,conv_D_4,2-D Convolution,512 4×4×256 convolutions with stride [2 2] and padding 'same'
11,bn_D_4,Batch Normalization,Batch normalization with 512 channels
12,lrelu_D_4,Leaky ReLU,Leaky ReLU with scale 0.2
13,outputLayer,2-D Convolution,1 1×1×512 convolutions with stride [1 1] and padding 'same'
