6. construct a neural network that computes the xor function of two inputs. make sure to specify what sort of units you are using

Figure 1 shows the neural network that computes the XOR of two inputs.

Two Input unit: X₁ and X₂

One hidden layer with two hidden units: h₁ and h₂

Two Weights for hidden unit 1 = 20, 20

Bias for hidden unit 1 = -10

Two Weights for hidden unit 2 = -20, -20

Bias for hidden unit 2 = 30

Weights for output layer = 20, 20

Bias for output layer = -30

Activation function = sigmoid (σ)

Output at hidden unit and at the output unit Y is shown in Table attached in Fig 2

i mean i gues

explanation: