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![[Figure 6]](tu5018fig6mag.jpg)
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Figure 6
The model architecture for the ResNet-18 Discriminator. The orange, purple, green, red, gray, blue and yellow layers represent 1D Convolutional layers, Dropout layers, Layer Normalization layers, GELU activation functions, 1D Max Pooling layers, 1D Adaptive Max Pooling layers and Fully Connected layers, respectively. The white circles with `+' signs in them represent the addition of two layers. In part (b), each ResNet block was repeated twice. `nc' and `ks' represent the number of channels and the kernel stride for each convolutional layer, respectively. |
![[Figure 6]](tu5018fig6.jpg)
 | JOURNAL OF APPLIED CRYSTALLOGRAPHY |
ISSN: 1600-5767
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