text: from Preprocessor import Preprocessor
  from train.ClassifierTrainer import ClassifierTrainer
  from datasets.STL10 import STL10
  from models.SpotNet import SNet
  
  target_shape = [96, 96, 3]
  model = SNet(None, batch_size=128, target_shape=target_shape, disc_pad='SAME', tag='default')
  data = STL10()
  preprocessor = Preprocessor(target_shape=target_shape, augment_color=True)
  trainer = ClassifierTrainer(model=model, dataset=data, pre_processor=preprocessor, num_epochs=400, optimizer='adam',
                              lr_policy='linear', init_lr=0.001, num_gpus=1, num_conv2train=0, num_conv2init=5)
  trainer.train_model(None)
  