3 ms·
All neural networks do is to aggregate input values (which you can model with current) and multiply it by weights (which you can model by variable resistors) an
by paraschopra 17y ago
All neural networks do is to aggregate input values (which you can model with current) and multiply it by weights (which you can model by variable resistors) and finally output a squished sigmodial output (for which I am sure a circuit must exist). Make elementary units of such neurons and connect them together. Then train the network by manually changing resistors to emulate backpropagation algorithm.
Though why you want to do all this through circuits (instead of a computer) is beyond me.
- rick_2047 17y agoBecause I want to show that these things can be done without a computational power. So my work can be further expanded to give IC's. Also it would be cool to have just circuits who have emergent behavior.
- paraschopra 17y agoYou are doing computation here. Moreover, it is not an emergent behavior, you are training your ANN here.
- rick_2047 17y agoSorry for not making myself clear, by computation I meant just micro controllers and microprocessors. And I was wrong in stating that in such a way because computation is such a big umbrella. Also the whole purpose of the project will be to make a customized circuit which could be faster than an embedded system.