Question: We want the network to output 0 . 9 , when the inputs i 1 = 0 . 1 and i 2 = 0 .

We want the network to output 0.9, when the inputs i1=0.1 and i2=0.2. The hidden layers h1 and h2 as well as the output layer contains a sigmoid activation function. Assume w1= w3= w5=0.1 and w2=w4=w6=0.2. Perform a forward pass and compute the total error. Do a single step of backpropagation to update the weights w5, w6 and w1.
We want the network to output 0 . 9 , when the

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