WebDec 30, 2024 · Tour Start here for a quick overview of the site Help Center Detailed answers to any questions you might have Meta Discuss the workings and policies of this site WebDec 30, 2024 · Plug in the first input vector x ( 1) and predict the class label. y ^ ( 1) = ϕ ( w ( 0) ⋅ x ( 1)). This gives the weight update. Δ w ( 1) = η ( y ( 1) − y ^ ( 1)) x ( 1), where η ∈ ( 0, 1) is the learning rate and y ( 1) is the true class label. The new weights are w ( 1) = w ( 0) + Δ w ( 1). Similarly, plug in our the input vector ...
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