Machine Learning, Linear Regression, Gradient Descent, Backpropagation.
the values of the weights and bias w₁, w₂ and b, let’s first compute all the partial differentials. These are needed later when we do the weight update. Fig. 2.2.1: Indicated partial differentials to the relevant edges on the graph Namely, we compute all possible paths leading to every w and b