Machine Learning, Data Science, Artificial Intelligence, Data, Deep Learning.
the gradient descent process. If the learning rate is too small, the gradient descent process can be slow. Whereas if the learning rate is too large, gradient descent can overshoot the minimum and may fail to converge, or even diverge. Gradient descent can converge to a local minimum even with a