Explained, Deep Learning, Hyperparameter, AI, Backpropagation.
Without a learning rate, the weight adjustments might be too large, causing the algorithm to overshoot the minimum of the loss function. This can lead to divergent behavior, where the error actually increases with each update. Precision: Smaller updates, controlled by a lower learning rate, allow