Consider the following neural network: input x₁ = 0.5 is connected to node A with weight 0.5; input x₂ = 0.6 is connected to node A with weight −0.8; input x₃ = 0.8 is connected to node A with weight 1; node A also receives a bias input of 0.5. Node A computes the net input y_in, which is then passed through node B (the activation function) to produce the final output y.
What will be the net input y_in and final output 'y' of this neural network given that the activation function is a threshold function defined as follows:
f(x) = 1 if x ≥ 1; f(x) = 0 if x < 1

1. Ay_in = 2.03, y = 1
2. By_in = 1.53, y = 1
3. Cy_in = 1.07, y = 1
4. Dy_in = 0.57, y = 0

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