How are the parameters updates during Gradient Descent Process ?
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It is an optimization algorithm tool used to lessen some functions by moving in a direction of steepest descent as explained by negative of the gradient.
In so far as Machine Learning gradient is concerned the descent is used to upgrade the parameters of our model.
Parameters refers to coefficients in Linear Regression and weights in neural networks of the gradient.
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