In a neural network, the learning rate consists of negative values that generally range between -1 and -10.

Name: In a neural network, the learning rate consists of negative values that generally range between -1 and -10.
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The learning rate in a neural network is a positive value, typically ranging between 0 and 1, that controls the size of the steps the algorithm takes during the optimization process. Negative values are not used for learning rates.

In a Neural Network, the Learning Rate Consists of Negative