Gradient Descent, Machine Learning, Neural Networks, Optimization, Linear Regression.
Rate Too Small: When the learning rate is set to a very small value, the algorithm takes tiny steps towards the minimum of the cost function. These small steps can cause the convergence process to be extremely slow. Imagine taking small, hesitant steps towards a destination — it would take a