Review Note
Last Update: 05/15/2024 08:25 PM
Current Deck: Algorithms and Data Structures
PublishedCurrently Published Content
Front
How can we use gradient descent to learn a function from data
Back
- Make assumption of func. type. e.g linear, quadratic, exp
- Guess initial function
- 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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