There is a perceptron the ID  all object. A second generative NN that 
transform the object 
position into the next frame, a prediction from past data. 
 Self training happens by comparing two frame of data a  , eye, percepton 
activates when dead center
over target and then moves to second frame. The eye searches for target and 
when eye percepton 
is over target again then eye percepton activates again. The eye perceptron 
change in position 
as a input into the generator nn for prediction. No real math just gradient of 
decent and remembering.

A few pixels are enough to restore the video in virtual reality:
https://www.youtube.com/watch?v=p1GBFpNvI6M&feature=youtu.be

Neural Network - Lens:
https://www.youtube.com/watch?v=92NqMLSaZKI


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