class_docstr: Simple Convolutional Neural Network
code: def __init__(self):
      super().__init__()
      self.layers = nn.Sequential(
          nn.Conv2d(1, 10, kernel_size=3),
          nn.ReLU(),
          nn.Flatten(),
          nn.Linear(26 * 26 * 10, 50),
          nn.ReLU(),
          nn.Linear(50, 20),
          nn.ReLU(),
          nn.Linear(20, 10),
      )
  
imports: import torch
  import torch.nn
label_desc: Use image node_id 1 to create a new SimpleConvNet object from inherited base classes: nn with example: obj = SimpleConvNet()