Gradient Descent, Machine Learning.
will be used for updating the model weights is obtained by summing across samples. Next, I will use a simple example to show how differentiation can be extended from a univariate case to a multivariate case. Consider the function sin(wᵀx), where w and x are vectors. When we take the gradient with