Which method is used for reducing the learning rate during the training of neural networks to avoid overshooting the optimal weights?

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Machine learning (ML) is a sub-category of artificial intelligence (AI) focused on building computer systems that learn from data. The four commonly used types of machine learning algorithms are: supervised, semi-supervised, unsupervised and reinforcement.


Which method is used for reducing the learning rate during the training of neural networks to avoid overshooting the optimal weights?