class_docstr: ### VGG model for CIFAR-10 classification
  
  This derives from the [generic VGG style architecture](../../experiments/cifar10.html).
class_docstr_tok: ["#","#","#","VGG","model","for","CIFAR-10","classification","This","derives","from","the","[","generic","VGG","style","architecture","]","(","..","\/","..","\/experiments\/cifar10.html",")","."]
code: def __init__(self):
      super().__init__(
          [
              [64, 64],
              [128, 128],
              [256, 256, 256],
              [512, 512, 512],
              [512, 512, 512],
          ]
      )
  
file_path: annotated_deep_learning_paper_implementations/labml_nn/normalization/batch_norm/cifar10.py
imports: import torch.nn
  from labml import experiment
  from labml.configs import option
  from labml_nn.experiments.cifar10 import CIFAR10Configs, CIFAR10VGGModel
  from labml_nn.normalization.batch_norm import BatchNorm
label_desc: Use image node_id 2 to create a new Model object from inherited base classes: CIFAR10VGGModel with example: obj = Model()