Gradient Descent is the most common optimisation strategy used in machine learning frameworks. It is an iterative algorithm used to minimise a function to its local or global minima. In simple words, Gradient Descent iterates overs a function, adjusting it’s parameters until it finds the minimum.  Gradient Descent is used to minimise the error by…

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