Given the following artificial neural network, Units A, B, C, and D are input units with...

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Given the following artificial neural network, Units A, B, C, and D are input units with associated data values. Unit H is the output unit with the target value. All connection weights and the bias inputs are set to 0.5 initially. The Alpha (learning rate) is 0.7. Using both feedforward and backpropagation processes, iterate the network twice and update all connection weights and the bias inputs. I Input layer Wear blue jeans-0.7 Wear D watch -0.3 Drive luxury car-0.5 Carry backpack -0.7 A B C D Hidden layer E F G Output layer BIAS H OUTPUT(NYIT) -0.9 Given the following artificial neural network, Units A, B, C, and D are input units with associated data values. Unit H is the output unit with the target value. All connection weights and the bias inputs are set to 0.5 initially. The Alpha (learning rate) is 0.7. Using both feedforward and backpropagation processes, iterate the network twice and update all connection weights and the bias inputs. I Input layer Wear blue jeans-0.7 Wear D watch -0.3 Drive luxury car-0.5 Carry backpack -0.7 A B C D Hidden layer E F G Output layer BIAS H OUTPUT(NYIT) -0.9