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5. Manually fit a linear function he (x) = Tx based on the following training instances using the stochastic gradient descent algorithm. The initial values of parameters are 0。 = 0.1,0₁ = 0.1,0₂ = 0.1. The learning rate α is 0.1. Please update each parameter at least five times. X1 X2 y 0 0 2 0 1 1 0 1 1 34 - ww

5. Manually fit a linear function he (x) = Tx based on the following training instances using the stochastic gradient descent algorithm. The initial values of parameters are 0。 = 0.1,0₁ = 0.1,0₂ = 0.1. The learning rate α is 0.1. Please update each parameter at least five times. X1 X2 y 0 0 2 0 1 1 0 1 1 34 - ww

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I need work shown of calculation for each 5 iteration updates please.

5. Manually fit a linear function he (x) = Tx based on the following training instances using the stochastic gradient descent algorithm. The initial values of parameters are 0。 = 0.1,0₁ = 0.1,0₂ = 0.1. The learning rate α is 0.1. Please update each parameter at least five times. X1 X2 y 0 0 2 0 1 1 0 1 1 34 - ww
Transcribed Image Text:5. Manually fit a linear function he (x) = Tx based on the following training instances using the stochastic gradient descent algorithm. The initial values of parameters are 0。 = 0.1,0₁ = 0.1,0₂ = 0.1. The learning rate α is 0.1. Please update each parameter at least five times. X1 X2 y 0 0 2 0 1 1 0 1 1 34 - ww
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