computer science exercise and need the explanation and answer to help me learn.
See section 4.3 Gradient-Based Optimization (pages 79 to 83) in “Goodfellow, I., Bengio, Y., Courville, A. (2016). Deep Learning. United Kingdom: MIT Press.” Then:
Pick a nonlinear function f(x) of your own choice to minimize that on some interval (a,b) has a minimum.
Pick epsilon of your own choice for the learning rate and the staring input x in (a,b).
For the submission provide in the plain text:
function, interval, epsilon, and starting point you picked.
5 consecutive x values that are updated using gradient descent procedure.
calculations for the 5 consecutive x values
Requirements: 5 pages
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