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What are Hyperparameters?
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Answer / Sanjeev Kumar Sinha
Hyperparameters are parameters that are set by the user or researcher before training a machine learning model. Examples include the learning rate, number of hidden layers in a neural network, and the regularization strength. These hyperparameters can have a significant impact on the performance of the model.
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