code: def __init__(self):
      super(SimpleModel, self).__init__()
      self.convs = nn.Sequential(
          nn.Conv2d(3, 16, stride=2, kernel_size=3),
          nn.BatchNorm2d(16),
          nn.ReLU(),
          nn.Conv2d(16, 32, stride=2, kernel_size=3),
          nn.BatchNorm2d(32),
          nn.ReLU(),
          nn.Conv2d(32, 64, stride=2, kernel_size=3),
          nn.BatchNorm2d(64),
          nn.ReLU(),
      )
  
      self.classifier = nn.Linear(576, 10)
  
file_path: torchbearer/docs/_static/examples/visdom_note.py
imports: import torch
  import torch.nn
  import torch.optim
  import torchvision
  from torchvision import transforms
  from torchbearer.cv_utils import DatasetValidationSplitter
  from torchbearer import Trial
  from torchbearer.callbacks import TensorBoard
  import torchbearer.callbacks.tensor_board
label_desc: Use image node_id 1 to create a new SimpleModel object from inherited base classes: nn with example: obj = SimpleModel()