The 2 input AND gate is implemented using logistic regression classifier with gradient descent optimization algorithm.

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answerhappygod
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The 2 input AND gate is implemented using logistic regression classifier with gradient descent optimization algorithm.

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The 2 input AND gate is implemented using logisticregression classifier with gradient descent optimization algorithm.The model parameters altime t are given by \theta0=0, \theta1=0, and \theta2=0. Givenbinary input (X1,X2) ?
1. what will be value of the loss function at t?2. What will be the values of \theta0, \theta1, and \theta2 at(t+1) with learning rate \alpha=1 and L2 regularization constant\lambda=1?
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