code: def __init__(self):
      super().__init__(
          nn.Conv2d(1, 32, 3, 1),
          nn.ReLU(),
          nn.Conv2d(32, 64, 3, 1),
          nn.MaxPool2d(2),
          nn.Dropout2d(0.25),
          Flatten(),
          nn.Linear(9216, 128),
          nn.ReLU(),
          nn.Dropout2d(0.5),
          nn.Linear(128, 10),
          nn.LogSoftmax(dim=1),
      )
  
file_path: fastai/nbs/examples/migrating_pytorch.py
imports: import torch
  from torch import nn
  import torch.nn.functional
  from torch.utils.data import DataLoader
  from torchvision import datasets, transforms
label_desc: Use image node_id 1 to create a new Net object from inherited base classes: nn with example: obj = Net()