code: def __init__(self, input_size=784, hidden_size=500, num_classes=10):
      super(NeuralNet, self).__init__()
      self.fc1 = nn.Linear(input_size, hidden_size)
      self.relu = nn.ReLU()
      self.fc2 = nn.Linear(hidden_size, num_classes)
  
file_path: pytorch-tutorial/tutorials/04-utils/tensorboard/main.py
imports: import torch
  import torch.nn
  import torchvision
  from torchvision import transforms
  from logger import Logger
label_desc: Use image node_id 1 to create a new NeuralNet object from inherited base classes: nn with example: obj = NeuralNet(input_size, hidden_size, num_classes)