Answers.Body: <p>Those are mean and standard deviation used to standardize each channel of the images from <a href="https://www.image-net.org/" rel="nofollow noreferrer">IMAGENET</a> used to train the <a href="https://pytorch.org/vision/stable/models.html" rel="nofollow noreferrer">torchvision pretrained models</a>.</p>
  <p>Since the models were trained using this preprocessing step, it is useful to apply it also when using those models for transfer learning on new data.</p>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2022-07-19T07:12:51.270Z
Answers.LastActivityDate: 2022-07-19T07:12:51.270Z
Answers.UserDisplayName: Edoardo Guerriero
Body: <p>in <a href="https://pytorch.org/tutorials/beginner/transfer_learning_tutorial.html" rel="nofollow noreferrer">this pytorch tutorial</a>, there is <code>transforms.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225])</code>, what is the purpose of this?</p>
  <p>(i removed it and the code still works)</p>
  
Tags: <convolutional-neural-networks><pytorch>
Title: what is `Normalize` for in PyTorch transfer learning tutorial?
UserDisplayName: em1971
ThreadText: # what is `Normalize` for in PyTorch transfer learning tutorial?
  
  (Asked by: username_0 on 2022-07-19)
  
  in [this pytorch tutorial](https://pytorch.org/tutorials/beginner/transfer_learning_tutorial.html), there is `transforms.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225])`, what is the purpose of this?
  
  (i removed it and the code still works)
  
  **Tags:** convolutional-neural-networks, pytorch
  
  ---
  
  ## 1 answers
  
  ### Answer by username_1 on 2022-07-19. Score: 1 | Accepted answer
  
  Those are mean and standard deviation used to standardize each channel of the images from [IMAGENET](https://www.image-net.org/) used to train the [torchvision pretrained models](https://pytorch.org/vision/stable/models.html).
  
  Since the models were trained using this preprocessing step, it is useful to apply it also when using those models for transfer learning on new data.
  
  
  ---
  
  