Figure2
Figure 2. Discriminator architecture. The input samples are 1 × 48 × 48 grey images, and here are three convolution layers. After the convolution, the images are reshaped into 1 × 1024-dimensional tensors.
Figure 2. Discriminator architecture. The input samples are 1 × 48 × 48 grey images, and here are three convolution layers. After the convolution, the images are reshaped into 1 × 1024-dimensional tensors.
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