code: def inception_v3_train_params():
      model = inception_v3(pretrained=False, init_weights=False)
  
      return {
          "model": model,
          "optimizer": SGD,
          "weight_decay": 0,
          "lr": 0.045,
          "lr_decay_rate": 0.94,
          "lr_step_size": 2,
      }
  
imports: import torch
  from torch.optim import SGD
  from torchvision.models import resnet50, inception_v3, mobilenet_v2, densenet121
label_desc: Use image node_id 2 for calling a global function with example usage: inception_v3_train_params() and returns: dict