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2. We're going to use a neural network with two inputs, two hidden neurons, two output neurons. Additionally, the hidden and output neurons will include

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2. We're going to use a neural network with two inputs, two hidden neurons, two output neurons. Additionally, the hidden and output neurons will include a bias. And we're going to work with a single training set: given inputs 0.05 and 0.10, we want the neural network to output 0.01 and 0.99. After calculating the four iteration learning steps, calculate the output when il=0.62 and i2=0.25. (25p) 15 w1 40 w5 H1 ht 01 05 20 w2 45 W 25w3 50 W 12 Na 02 30 w4 56 w 10 5135 02

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