Machine Learning, Linear Regression, Gradient Descent, Backpropagation.
function Because we want the difference between ŷ and y to be small, we want to make an effort to minimise it. This is done through stochastic gradient descent optimisation. It is basically iteratively updating the values of w₁ and w₂ using the value of gradient, as in this equation: Fig. 2.0: