In a neural network, the learning rate determines the speed at which the model can reach the most accurate solution.

Question

Quizplus · Accepted Answer

The learning rate in a neural network controls how much the weights of the network are updated during training. A higher learning rate can cause the model to converge faster, but too high can lead to instability. Conversely, a lower learning rate makes learning more stable but can slow down the convergence process.

In a Neural Network, the Learning Rate Determines the Speed