Just got my first backpropper (neural network dataset based trainer) to work! congratulations me!!!
Most people will implement a perceptron with a computer, microcontroller.
But if u dont do that, and u put it all down in solid hard connections, you could get really good performance out of one, it pops out the other side just with electrical delay, so its barely anything at all.
The kind without feedback is what I'm talking about, just a direct pathway from I to O, not even a register or oscillator is required.
I also have this nifty idea where I can avoid all the over crossing of the wires to do the full all onto all connection between the layers, by putting it only an ordinary grid! it seems its possible to do it on a 2d grid, where each grid unit centrepoint is a synapse.
So u could actually make it a potentiometre! so its just an array of potentiometres, which adjust the multiplication strength, then they just have to add together somehow, I wonder how I could fix it.
Anyone seen a guy with one of these before?
Most people will implement a perceptron with a computer, microcontroller.
But if u dont do that, and u put it all down in solid hard connections, you could get really good performance out of one, it pops out the other side just with electrical delay, so its barely anything at all.
The kind without feedback is what I'm talking about, just a direct pathway from I to O, not even a register or oscillator is required.
I also have this nifty idea where I can avoid all the over crossing of the wires to do the full all onto all connection between the layers, by putting it only an ordinary grid! it seems its possible to do it on a 2d grid, where each grid unit centrepoint is a synapse.
So u could actually make it a potentiometre! so its just an array of potentiometres, which adjust the multiplication strength, then they just have to add together somehow, I wonder how I could fix it.
Anyone seen a guy with one of these before?