Question: Consider a simple perceptron with a sigmoid activation function and two inputs. Assume the following values for the weights: w1 = 0.2, w2 = 0.3,

Consider a simple perceptron with a sigmoid activation function and two inputs. Assume the following values for the weights: w1 = 0.2, w2 = 0.3, b = 0.1. Given a labeled data point with x1 = 2, x2 = 1, y = 1 answer the following: (a) What is the output when feeding this data point to the network? (b) If using binary cross-entropy, what is the loss for this data sample? (c) In general, what is the role of the bias in the perceptron?

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