Consider a single perceptron with sign activation function. The perceptron is represented by weight vector $\begin{bmatrix} 0.4 & -0.3 & 0.1 \end{bmatrix}^t$ and a bias $\theta=0$. If the input vector to the perceptron is $X=\begin{bmatrix} 0.2 & 0.6 & 0.5 \end{bmatrix}$ then the output of the perceptron is
Ans: (3) -0.05
Explanation: Here it is given input vector X=[0.2 0.6 0.5] and weight vector W=[0.4 −0.3 0.1]T
The output of the perceptron will be the summation of X and W represented as,
$\sum_{i}^{}$Xi Wi (i=1,2,3 because there are 3 values of X and W)
[0.2 0.6 0.5]*[0.4 −0.3 0.1]=[0.2*0.4 0.6*(-0.3) 0.5*0.1]=[0.08-0.18+0.05] = -0.05
https://i.stack.imgur.com/NPA2j.jpg
Consider a single perceptron with sign activation function. The perceptron is represented by weight vector [0.4 −0.3 0.1] t and a bias θ=0. If the input vector to the perceptron is X=[0.2 0.6 0.5] then the output of the perceptron is A. 1 B. 0 C. −0.05 D. −1 ANS: OPTION C Output = AX + B where A = weight, X= input, B = bias Output = [0.4 −0.3 0.1]^t [0.2 0.6 0.5] + [0 0 0] Output = 0.4 * 0.2 + -0.3*0.6 + 0.1*0.5 Output = 0.08 - 0.18 + 0.05 Output = 0.13 - 0.18 Output = -0.05
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