Consider two functions: f1(x, y) = (x − 2)^2 + (y − 3)^2 and f2(x, y) = (1 − (y − 3))^2 + 20((x + 3) − (y − 3)^2)^2 Starting with (x, y) = (0, 0) run the gradient descent algorithm for each function.

This repository contains Python implementations of common unconstrained optimization algorithms: Steepest Descent and Newton's Method ... Convergence plots (Function Value vs. Iterations). Gradient ...

Master how mini-batches work, why they’re better than full batch or pure stochastic descent. #MiniBatchGD #SGD #DeepLearning ...

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