Neural Networks, Gradient Descent.
geometry of the N-dimensional loss function. Let's see the theoretical and simple explanation first Algorithm Initialization: Start with an initial guess for x. Gradient Calculation: Compute the gradient ∇f(x)(or f’(x) at the current x. (not that gradient descent is NOT calculating the gradient in