The 2-input AND gate is implemented using the logistic regression classifier with gradient descent optimization algorith

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answerhappygod
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The 2-input AND gate is implemented using the logistic regression classifier with gradient descent optimization algorith

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The 2-input AND gate is implemented using the logisticregression classifier with gradient descent optimization algorithm.The model parameters at time t are given θ0=0, θ1=0 and θ2=0.Given Binary input(x1,x2),
1. What will be value of the loss function at ?2. What will be the values of θ0, θ1, and θ2 at (t+1) with learningrate α=1 and L2 regularizationconstant λ=1 ?
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