A neuron receives two inputs x1 and x2 with weights w1 and w2 respectively. The bias...

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A neuron receives two inputs x1 and x2 with weights w1 and w2 respectively. The bias weights are wb0. Notice that the neuron utilizes a hyperbolic tangent function. a) Find the value of the output, if x1=0.75, x2=0.9, w1-1.5, w2=-1.5, wb0=0.8. b) Find the value of wb0 in a way that the output is 0.81, if x1, x2, w1, w2 values are all kept invariable whereas wb0 is allowed to be variable. c) Find the value of w2 in a way that the output is 0.81, if x1, x2, w1, values are all kept invariable whereas w2 is allowed to be variable. Use the wb0 value in item (b). d) What are they types of learning algorithm in neural networks? Explain each in brief. A neuron receives two inputs x1 and x2 with weights w1 and w2 respectively. The bias weights are wb0. Notice that the neuron utilizes a hyperbolic tangent function. a) Find the value of the output, if x1=0.75, x2=0.9, w1-1.5, w2=-1.5, wb0=0.8. b) Find the value of wb0 in a way that the output is 0.81, if x1, x2, w1, w2 values are all kept invariable whereas wb0 is allowed to be variable. c) Find the value of w2 in a way that the output is 0.81, if x1, x2, w1, values are all kept invariable whereas w2 is allowed to be variable. Use the wb0 value in item (b). d) What are they types of learning algorithm in neural networks? Explain each in brief.

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