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Consider the parallelogram whose boundaries are these 4 lines: y = 0 , y = 3 , x = y and ( x - 3
Consider the parallelogram whose boundaries are these lines: y y xy and xy A multilayer neural network architecture to fire only for points outside the parallelogram is: hidden units fire for y y x y and x y respectively, then feed their outputs into an AND gate. hidden units fire for y y x y and x y respectively, then feed their outputs into an AND gate. hidden units fire for y y x y and x y respectively, then feed their outputs into an AND gate, then feed the output of that into a NOT gate. hidden units fire for y y x y and x y respectively, then feed their outputs into an OR gate, then feed the output of that into a NOT gate. hidden units fire for y y x y and x y respectively, then feed their outputs into an OR gate. hidden units fire for y y x y and x y respectively, then feed their outputs into an AND gate, then feed the output of that into a NOT gate.
Consider the parallelogram whose boundaries are these lines:
y y xy and xy
A multilayer neural network architecture to fire only for points outside the
parallelogram is:
hidden units fire for y y x y and x y respectively, then
feed their outputs into an AND gate.
hidden units fire for y y x y and x y respectively, then
feed their outputs into an AND gate.
hidden units fire for y y x y and x y respectively, then
feed their outputs into an AND gate, then feed the output of that into a NOT
gate.
hidden units fire for y y x y and x y respectively, then
feed their outputs into an OR gate, then feed the output of that into a NOT
gate.
hidden units fire for y y x y and x y respectively, then
feed their outputs into an OR gate.
hidden units fire for y y x y and x y respectively, then
feed their outputs into an AND gate, then feed the output of that into a NOT
gate.
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