Question: Show that the local gradient k for the output node ' k ' in back propagation algorithm with sigmoid activation function is given as: k

Show that the local gradient k for the output node 'k' in back propagation algorithm with sigmoid activation function is given as:
k(n)=ek(n)ok(n)(1-ok(n))
where, ek(n) is the error between the desired response and the observed output value ok(n).
Show that the local gradient k for the output node 'k'

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