Hi folks,
I am delighted to share my latest example on keras.io 6 - Self-supervised contrastive learning with SimSiam:

  
      
      keras.io
  
  
    

Keras documentation: Self-supervised contrastive learning with SimSiam 51



  
  
    
    
  
  


This one introduces you to the world of self-supervised learning for computer vision and at the same time walks you through a decent self-supervised learning method (SimSiam) for the field.
While self-supervision has been pretty predominant in the NLP world since time immemorial but it was only in the past year these methods showed progress for the vision systems. We have evidence that these methods can often beat their supervised counterparts but only that their pre-training does not require any labeled data (but far more inductive priors).
Happy to address any feedback on the post.