Question: Consider the following feedforward neural net with one hidden unit of type logistic, with: g(z) = 1/(1+exp(-z)), and one linear output unit. What is the

Consider the following feedforward neural net with one hidden unit of type logistic, with: g(z) = 1/(1+exp(-z)), and one linear output unit. What is the new value for output y of the network after only one forward pass. Let the learning rate be 0.5.

Assume: x = 1.0 , w0=3.5 , and w1=4.0

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