An Easy Guide to Gradient Descent in Machine Learning
Introduction Gradient Descent is an iterative approach for locating a function’s minima. This is an optimisation approach for locating the parameters or coefficients of a function with the lowest value. This function, however, does not always discover a global minimum and can become trapped at a local minimum. Take a look at the diagram above […]
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