Just say we have a button to tap to say "wrong output" you needent rerandomize the whole nn space, when it is being unsatisfactory due to input, just what was involved with the previous input.
Input diverging through to output, thats where the error would be.
Is this what is done already?
Also, i was thinking you could use positive reinforcement and negative reinforcement, and give each synapse a value for how "permanent" it is, then you could randomize the synapses with the least positive reinforcement over the cells which have been more correct most of the time?
Keeping the most correct functioning part of the brain stiff, is how we reuse old rules learnt.
ANN error localization.
Started by rouncer, Feb 08 2013 06:28 AM
1 reply to this topic
#1
Posted 08 February 2013 - 06:28 AM
you used to be able to fit a game on a disk, then you used to be able to fit a game on a cd, then you used to be able to fit a game on a dvd, now you can barely fit one on your harddrive.
#2
Posted 10 February 2013 - 12:24 AM
well, you could light up all the neurons that fired in a time step, they are the area of importance, you could isolate it somehow... i dont know. 
maybe it doesnt work...
maybe it doesnt work...
you used to be able to fit a game on a disk, then you used to be able to fit a game on a cd, then you used to be able to fit a game on a dvd, now you can barely fit one on your harddrive.
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