Learning Rate

Learning Rate determines how fast a model learns from training data.

Learning Rate

Learning Rate

The learning rate is a hyperparameter used in machine learning and deep learning algorithms. It determines how quickly the model learns from the training data at each iteration. A high learning rate allows the model to learn quickly, but it also increases the risk of getting stuck in local minima. A low learning rate provides a more stable learning process, but it can prolong the training time.

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