Keywords

#learning_rate

Learning rate

Tuning parameter (hyperparameter) in optimization

In machine learning and statistics, the learning rate is a tuning parameter in an optimization algorithm that determines the step size at each iteration while moving toward a minimum of a loss function. Since it influences to what extent newly acquired information overrides old information, it metaphorically represents the speed at which a machine learning model "learns". In the adaptive control literature, the learning rate is commonly referred to as gain.

Tue 30th

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Learning rate Neural network (machine learning) Q-learning Backtracking line search Stochastic gradient descent Hyperparameter (machine learning) Temporal difference learning Transformer (deep learning architecture) Federated learning Literacy
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