Figure1
![Pulsar identification based on generative adversarial network and residual network](https://image.oaes.cc/c416433b-61b8-46d6-bc57-57d2b9129654/5297-1.jpg)
Figure 1. Generator architecture. The input is 1 × 1024-dimensional Gaussian noise; that input is first transformed into a 1 × 18432 tensor with a 1024 × 18432 fully connected layer. Then the tensor is projected and reshaped into a 128 × 12 × 12 tensor. There are two convolution layers. The output is a generated 1 × 48 × 48-dimensional grey image.