Machine Learning, Linear Regression, Gradient Descent, Backpropagation.
Initialise weights (one-time) 2.1.2 Feed data 2.1.3 Compute ŷ 2.1.4 Compute loss 2.2 Backpropagation 2.2.1 Compute partial differentials 2.2.2 Update weights 1 Preparation 1.1 Data We have some data: as we observe the independent variables x₁ and x₂, we observe the dependent variable (or response