+The **learning rate** is a crucial [Hyperparameter](/wiki/hyperparameter) that dictates the step size at each iteration while a model updates its internal weights. It guides the model's journey across the [Loss Function](/wiki/loss_function) landscape, influencing how quickly or slowly it converges towards an optimal solution.
+## See also
+- [Gradient Descent](/wiki/gradient_descent)
+- [Optimization](/wiki/optimization)
+- [Neural Network](/wiki/neural_network)
... 1 more lines