Given a training dataset D = {(xi, yi)}, i ∈ [1..N], we want to identify a function fΘ() such that the predictions ŷ = fΘ(x) over the training dataset are as accurate as possible. Given a Loss Function L(y,ŷ) - write the criterion that the optimal value of Θ must satisfy: Find θ such that:
קורסי בחירה במדעי המחשב NLP2020
Given a training dataset D = {(xi, yi)}, i ∈ [1..N], we want to identify a function fΘ() such that the predictions ŷ = fΘ(x) over the training dataset are as accurate as possible. Given a Loss Function L(y,ŷ) - write the criterion that the optimal value of Θ must satisfy: Find θ such that:
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* השאלה נוספה בתאריך: 01-02-2020