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Results tagged with hyperparameter
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user 548
Hyperparameters of a model are the kind of parameters that cannot be directly learned during training but are set beforehand. Hyperparameters can define, for example, the complexity of the model or its capacity to learn.
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Choosing a learning rate
Is the learning rate related to the shape of the error gradient, as
it dictates the rate of descent?
In plain SGD, the answer is no. A global learning rate is used which is indifferent to the error …
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