Machine Learning, Programming, Python, Data Science, Deep Learning.
which is nothing but slope ‘m” is “N” in our case and ‘alpha’ is learning rate. Gradient descent decreasing to reach global cost minimum in 3d it looks like “alpha value” (or) ‘alpha rate’ should be slow. if it is more leads to “overfit”, if it is less leads to “underfit”. underfit vs overfit still