2 votes 2 votes A neuron with inputs has the weight vector $\begin{bmatrix}0.2 & -0.1 & 0.1 \end{bmatrix}^T$ and a bias $\theta =0$. If the input vector is $X = \begin{bmatrix}0.2 & 0.4 & 0.2 \end{bmatrix}^T$. Then the total input to the neuron is: $0.20$ $1.0$ $0.02$ $-1.0$ Others ugcnetcse-jan2017-paper3 + – go_editor asked Feb 1, 2017 • retagged Jun 25, 2022 by Lakshman Bhaiya go_editor 5.6k views answer comment Share Follow See 1 comment See all 1 1 comment reply Rishabh Gupta 2 commented Nov 7, 2017 reply Follow Share The question is asking the number of inputs. And options are for the weighted sum. weird! 2 votes 2 votes Please log in or register to add a comment.
Best answer 2 votes 2 votes Neural networks is a huge topic which cannot be explained here. It is off-topic anyway. $f(x) = W^{T}*X + \theta$ f(x) = 0.2*0.2 - 0.1*0.4 + 0.1*0.2 = 0.02 Option C. vishal76 answered Feb 1, 2017 • selected Feb 1, 2017 by Sanjay Sharma vishal76 comment Share Follow See all 0 reply Please log in or register to add a comment.
