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PLEASE DO NOT COPY FROM answers.COM OR ANOTHER SOURCE!!!!
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14. (6 marks) Often, instead of using a hard threshold we would like to use a continuous approximation. Recall the hyperbolic tangent function tanh(z) We consider another type of artificial neuron whose output is defined as: e-e-2 ete- D y= tanh(wo + Wili) (2) i=1 Suppose you treat outputs above 0.99 as true and those below -0.99 as false. Show new functions to construct the logic gates. (There are many correct solutions, but you only need to provide one specific solution for each gate.) AND(21,22) = sign(...?...) OR(21, 22) = sign(...?...) NOT(21, X2) = sign(...?...)
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14. (6 marks) Often, instead of using a hard threshold we would like to use a continuous approximation. Recall the hyperbolic tangent function tanh(z) We consider another type of artificial neuron whose output is defined as: e-e-2 ete- D y= tanh(wo + Wili) (2) i=1 Suppose you treat outputs above 0.99 as true and those below -0.99 as false. Show new functions to construct the logic gates. (There are many correct solutions, but you only need to provide one specific solution for each gate.) AND(21,22) = sign(...?...) OR(21, 22) = sign(...?...) NOT(21, X2) = sign(...?...)
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