XNOR MLP ( Quiz )

#1

After calculating, h came out to be :

   [[-2., -2., -2., -2.],
    [-3., -1., -3., -1.],
    [-3., -3., -1., -1.],
    [-4., -2., -2., -0.]]

and y = [1, 0, 0, 1]

Now, will these be the input for a LINEAR CLASSIFIER ( such as Logistic Regression ) ?

I trained this using Logistic Regression and Weights and Biases came out to be 0.

But, the answer is incorrect. What to do and how to proceed ?

#2

Hey @mananaroramail ,
For this question there is no such particular formulae or a format that you can use to get the actual condition between the final weights.
What you need to do is.
After you got the hidden layer node values for each input you just need to hit and run all the given options and select the one which works for them.

In this you can get you answer.
Thank You :slightly_smiling_face:.