You can this a Keras lambda layer:

  
      

      TensorFlow
  

  
    

tf.nn.local_response_normalization  |  TensorFlow Core v2.7.0 1

  Local Response Normalization.


  

  
    
    
  

  


It was requested in Keras many times, I think the last one was:

  

      github.com/keras-team/keras
  

  
    
  
	  
  

  
    
      Add LRN-Layer again 1
    

    
      
        opened 
        
          
        
        May 12, 2017
      
      

        
          closed 
        
          
        
        Sep 26, 2017
      
        

      
        
          
          StefanoD
        
      
    

    
        
          stale
        
    
  


  
    LRN has been [removed](https://github.com/fchollet/keras/pull/331#issuecomment-1…68585710), maybe in favor of Batch Normalization. The problem is, in my experiments BN layer after a Conv Layer didn't perform well. It performs well on the 5th and 6th Dense layer, but not on the Conv layer
So, why don't you let the user the choice what they want to use?