Review Note

Last Update: 05/15/2024 08:25 PM

Current Deck: Algorithms and Data Structures

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Front
How can we use gradient descent to learn a function from data
Back
  1. Make assumption of func. type. e.g linear, quadratic, exp
  2. Guess initial function
  3. Minimise (using gradient descent) the square of the dist of the cuntion to each point \(d(f(x_1,y_1) + d(f(x_2,y_2) + d(f(x_3,y_3) + \dots, + d(f(x_n,y_n))\)

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