What is Learning Rate?Learning rate is a crucial hyperparameter in machine learning that controls the degree of updates on the model's weights.Generally, a loss function represents a hyperplane(초평면) in multi-dimensional space characterized by complex curvatures.If the weight updates are too large and overshoot the global minimum(the point where the loss function could be minimized), it becomes i..