Machine Learning, Linear Regression, Gradient Descent, Backpropagation.
easy reference: Eqn. 2.2.2C: Partial differentials Eqn. 2.2.2D: Values from current batch and the predicted ŷ Using the stochastic gradient descent equation in Eqn. 2.2.2A and plugging in all the values from Eqn. 2.2.2B-D gives us: That’s it for updating b! Phew! We are left with updating w₁ and