Generative Neural Networks, GAN. 
 This give give a relation from stating image or data to another.

Latent Space Human Face Synthesis | Two Minute Papers #191:
https://www.youtube.com/watch?v=aR6M0MQBo2w


  A  programmer select two images or data points.
  A  programmer put in 50 percent value into a GAM and train it to be 50 
percent transformation 
between to faces.  This 50 percent value is called a "latent value" 

 Latent value can used for mapping distance in weight space. 
https://towardsdatascience.com/graduating-in-gans-going-from-understanding-generative-adversarial-networks-to-running-your-own-39804c283399


 The latent value can be used to make movement vectors through weight space:
https://poloclub.github.io/ganlab/

 Unsupervised GAN's are the way of the brain, artificial or real: 
https://www.academia.edu/37275998/A_Nice_Artificial_General_Intelligence_How_To_Make_A_Nice_Artificial_General_Intelligence



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